code stringlengths 4 4.48k | docstring stringlengths 1 6.45k | _id stringlengths 24 24 |
|---|---|---|
class TestCandidateFlagsPage(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 make_instance(self, include_optional): <NEW_LINE> <INDENT> if include_optional : <NEW_LINE> <INDENT> return CandidateFla... | CandidateFlagsPage unit test stubs | 62599063435de62698e9d51d |
class VnfOnboardingReply(Model): <NEW_LINE> <INDENT> def __init__(self, onboarded_vnf_pkg_info_id: str=None, vnfd_id: str=None): <NEW_LINE> <INDENT> self.swagger_types = { "onboarded_vnf_pkg_info_id": str, "vnfd_id": str } <NEW_LINE> self.attribute_map = { "onboarded_vnf_pkg_info_id": "onboardedVnfPkgInfoId", "vnfd_id"... | NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually. | 62599063d6c5a102081e3839 |
class ParamType(object): <NEW_LINE> <INDENT> PRIMPAR_LABEL = 0x20 <NEW_LINE> HND = 0x10 <NEW_LINE> ADR = 0x08 <NEW_LINE> LCS = 0x84 <NEW_LINE> LAB1 = 0xA0 <NEW_LINE> LC0 = 0x00 <NEW_LINE> LC1 = 0x81 <NEW_LINE> LC2 = 0x82 <NEW_LINE> LC4... | Parameter types that are used by the VM. | 62599063be8e80087fbc079c |
class ValidateRigControlsDefaults(pyblish.api.InstancePlugin): <NEW_LINE> <INDENT> order = colorbleed.api.ValidateContentsOrder + 0.05 <NEW_LINE> label = "Rig Controls Defaults" <NEW_LINE> hosts = ["maya"] <NEW_LINE> families = ["colorbleed.rig"] <NEW_LINE> actions = [colorbleed.api.RepairAction, colorbleed.maya.action... | Validate rig controller default values.
Controls must have the transformation attributes on their default
values of translate zero, rotate zero and scale one when they are
unlocked attributes. | 6259906301c39578d7f142bf |
class DNSServerIDL(object): <NEW_LINE> <INDENT> thrift_spec = (None, (1, TType.STRUCT, 'addr', (Shared.ttypes.NetworkAddressIDL, Shared.ttypes.NetworkAddressIDL.thrift_spec), None), (2, TType.I32, 'primary', None, None), (3, TType.STRING, 'vrfName', None, None)) <NEW_LINE> def __init__(self, addr = None, primary = None... | DNS Server IDL
Attributes:
- addr
- primary
- vrfName | 625990634f6381625f19a02e |
class CmdUnconnectedConnect(COMMAND_DEFAULT_CLASS): <NEW_LINE> <INDENT> key = 'connect' <NEW_LINE> aliases = ['conn', 'con', 'co'] <NEW_LINE> locks = 'cmd:all()' <NEW_LINE> arg_regex = r'\s.*?|$' <NEW_LINE> def func(self): <NEW_LINE> <INDENT> session = self.caller <NEW_LINE> if _throttle(session, maxlim=5, timeout=5 * ... | connect to the game
Usage (at login screen):
connect accountname password
connect "account name" "pass word"
Use the create command to first create an account before logging in.
If you have spaces in your name, enclose it in double quotes. | 62599063009cb60464d02c4c |
class InvalidRequestError(Error): <NEW_LINE> <INDENT> pass | The request was invalid. | 6259906399cbb53fe68325f8 |
@attr.s <NEW_LINE> class EntityCollections(object): <NEW_LINE> <INDENT> _parent = attr.ib(repr=False, cmp=False, hash=False) <NEW_LINE> _availiable_collections = attr.ib(repr=False, cmp=False, hash=False) <NEW_LINE> _filters = attr.ib(cmp=False, hash=False, default=attr.Factory(dict)) <NEW_LINE> _collection_cache = att... | Caches instances of collection objects for use by the collections accessor
The appliance object has a ``collections`` attribute. This attribute is an instance
of this class. It is initialized with an appliance object and locally stores a cache
of all known good collections. | 625990638e7ae83300eea7a2 |
class SearchCondition(object): <NEW_LINE> <INDENT> EQUAL = 0 <NEW_LINE> LIKE = 1 <NEW_LINE> FULL_TEXT = 2 <NEW_LINE> GTE = 3 <NEW_LINE> LTE = 4 <NEW_LINE> NOT = 5 <NEW_LINE> _VALUES_TO_NAMES = { 0: "EQUAL", 1: "LIKE", 2: "FULL_TEXT", 3: "GTE", 4: "LTE", 5: "NOT", } <NEW_LINE> _NAMES_TO_VALUES = { "EQUAL": 0, "LIKE": 1,... | <p>Different search operators that can be used with the entity search fields</p>
<li>EQUAL : Simply matches for equality. Applicable for name, and parent entity id</li>
<li>LIKE : Check for the condition %$FIELD% condition. Applicable for name, and description</li>
<li>FULL_TEXT : Does a full text search. Only applicab... | 62599063009cb60464d02c4d |
class MultiAgentSearchAgent(Agent): <NEW_LINE> <INDENT> def __init__(self, evalFn = 'scoreEvaluationFunction', depth = '2'): <NEW_LINE> <INDENT> self.index = 0 <NEW_LINE> self.evaluationFunction = util.lookup(evalFn, globals()) <NEW_LINE> self.depth = int(depth) <NEW_LINE> <DEDENT> def isTerminal(self, state, depth, ag... | This class provides some common elements to all of your
multi-agent searchers. Any methods defined here will be available
to the MinimaxPacmanAgent, AlphaBetaPacmanAgent & ExpectimaxPacmanAgent.
You *do not* need to make any changes here, but you can if you want to
add functionality to all your adversarial search age... | 6259906363d6d428bbee3e13 |
class UserBan( Base ): <NEW_LINE> <INDENT> __tablename__ = 'user_bans' <NEW_LINE> __table_args__ = {'extend_existing': True} <NEW_LINE> id = Column( Integer, primary_key = True ) <NEW_LINE> id_user = Column( Integer, ForeignKey( 'users.id') ) <NEW_LINE> date_ban = Column( Date ) <NEW_LINE> reason =... | Describe columns in table UserBans | 625990634e4d562566373b1c |
class PostDevelopCommand(develop): <NEW_LINE> <INDENT> def run(self): <NEW_LINE> <INDENT> develop.run(self) <NEW_LINE> copyfile() | Post-installation for development mode. | 6259906376e4537e8c3f0c98 |
class ModalTimerOperator(bpy.types.Operator): <NEW_LINE> <INDENT> bl_idname = "wm.implicit_event_loop" <NEW_LINE> bl_label = "Event Loop For Noodle Node Editor" <NEW_LINE> _timer = None <NEW_LINE> def modal(self, context, event): <NEW_LINE> <INDENT> global jobs <NEW_LINE> if event.type in {'ESC'}: <NEW_LINE> <INDENT> s... | Operator which runs its self from a timer | 625990637d847024c075daec |
class PublicKeyAlgorithm(Sequence): <NEW_LINE> <INDENT> _fields = [ ('algorithm', PublicKeyAlgorithmId), ('parameters', Any, {'optional': True}), ] <NEW_LINE> _oid_pair = ('algorithm', 'parameters') <NEW_LINE> _oid_specs = { 'rsa': Null, 'dsa': DSAParams, 'ec': ECDomainParameters, } | Original Name: AlgorithmIdentifier
Source: https://tools.ietf.org/html/rfc5280#page-18 | 625990634e4d562566373b1d |
class Application(object): <NEW_LINE> <INDENT> instance = None <NEW_LINE> def __new__(cls, *args, **kwargs): <NEW_LINE> <INDENT> if Application.instance is None: <NEW_LINE> <INDENT> Application.instance = object.__new__(cls) <NEW_LINE> <DEDENT> return Application.instance <NEW_LINE> <DEDENT> def __init__(self, size, na... | Base Application | 62599063435de62698e9d51e |
class Runnable(object): <NEW_LINE> <INDENT> thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") <NEW_LINE> def __init__(self, *args, **kwargs): <NEW_LINE> <INDENT> raise AttributeError("No constructor defined - class is abstract") <NEW_LINE> <DEDENT> __repr__ = _swig_repr <... | Proxy of C++ sys::Runnable class. | 625990633539df3088ecd9b4 |
class Button(pygame.sprite.Sprite): <NEW_LINE> <INDENT> __press = pygame.mixer.Sound('sounds\\button.wav') <NEW_LINE> def __init__(self, num): <NEW_LINE> <INDENT> pygame.sprite.Sprite.__init__(self) <NEW_LINE> self.__font = pygame.font.Font('fonts\\Square.ttf', 30) <NEW_LINE> self.__text = ('START', 'CONTROLS', 'QUIT',... | button class | 625990642ae34c7f260ac7fd |
class ProtocolFileRole(str, Enum): <NEW_LINE> <INDENT> MAIN = "main" <NEW_LINE> LABWARE = "labware" | The purpose of a given file in a protocol.
Args:
MAIN: The protocol's main file. In a JSON protocol, this is will
be the JSON file. In a Python protocol, this is the file
that exports the main `run` method.
LABWARE: A labware definition file, loadable by a
Python file in the same protoc... | 6259906438b623060ffaa3dc |
class LabelingTaskOrderingFilter(OrderingFilter): <NEW_LINE> <INDENT> REPLACE_REQUEST_FIELDS = { 'labeler': 'labeler_name', } <NEW_LINE> def get_ordering(self, request, queryset, view): <NEW_LINE> <INDENT> ordering = super().get_ordering(request, queryset, view) <NEW_LINE> return [self._replace_request_field(field) for... | To keep the API query names consistent with the `LabelingTaskFilterSet`,
the ordering must be applied to the different field that is requested. | 62599064d6c5a102081e383b |
class ClientConnectorStatistics(ConnectorStatistics): <NEW_LINE> <INDENT> def init(self): <NEW_LINE> <INDENT> self._stats = { 'created_at': 0, 'last_received_pdu_at': 0, 'last_sent_pdu_at': 0, 'last_received_elink_at': 0, 'last_sent_elink_at': 0, 'last_seqNum_at': 0, 'last_seqNum': None, 'connected_at': 0, 'bound_at': ... | One client connector statistics holder | 62599064d7e4931a7ef3d710 |
class TestUtilsPrune(unittest.TestCase): <NEW_LINE> <INDENT> pass | :param m: number of instances / samples
:param L: number of labels / classes
:param T: number of individual classifiers in the original ensemble
:param H: size of the pruned sub-ensemble, number of individual classifiers | 625990642ae34c7f260ac7fe |
class TaskPanelHeightsPage(TaskPanelPage): <NEW_LINE> <INDENT> def getForm(self): <NEW_LINE> <INDENT> return FreeCADGui.PySideUic.loadUi(":/panels/PageHeightsEdit.ui") <NEW_LINE> <DEDENT> def initPage(self, obj): <NEW_LINE> <INDENT> self.safeHeight = PathGui.QuantitySpinBox(self.form.safeHeight, obj, 'SafeHeight') <NEW... | Page controller for heights. | 6259906497e22403b383c623 |
class networkgen(): <NEW_LINE> <INDENT> def __init__(self,**kwargs): <NEW_LINE> <INDENT> self.net_params = {} <NEW_LINE> for k,v in kwargs.items(): <NEW_LINE> <INDENT> self.net_params[k] = v <NEW_LINE> <DEDENT> self.data = pd.read_csv(self.net_params['protein_nodes_file']) <NEW_LINE> self.data.columns = ['uniprot_id','... | A class to generate a network of protein based on their p-value from tanimoto score | 62599064e64d504609df9f59 |
class icCellAddressInvalidError(Exception): <NEW_LINE> <INDENT> def __init__(self, args=None, user=None): <NEW_LINE> <INDENT> self.args = args | Ошибка некорректного адреса ячейки. | 62599064a17c0f6771d5d731 |
class Tabular(object): <NEW_LINE> <INDENT> def __init__(self, columns, toprule=False, bottomrule=False): <NEW_LINE> <INDENT> self.header = r'\begin{tabular}{' + columns + r'}' <NEW_LINE> self.numcols = len(re.findall('l|c|r|p{.*?}', columns)) <NEW_LINE> self.rows = [] <NEW_LINE> self.footer = r'\end{tabular}' <NEW_LINE... | Simple LaTeX tabular generator. | 62599064627d3e7fe0e085a2 |
class UserEvent(object): <NEW_LINE> <INDENT> def __init__(self, event_context, user_id, visitor_attributes, bot_filtering=None): <NEW_LINE> <INDENT> self.event_context = event_context <NEW_LINE> self.user_id = user_id <NEW_LINE> self.visitor_attributes = visitor_attributes <NEW_LINE> self.bot_filtering = bot_filtering ... | Class respresenting User Event. | 625990640a50d4780f70694b |
class Resolver: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self._cache = {} <NEW_LINE> <DEDENT> def __call__(self, what): <NEW_LINE> <INDENT> if hasattr(what, '__iter__'): <NEW_LINE> <INDENT> result = [] <NEW_LINE> for host in what: <NEW_LINE> <INDENT> result.extend(self(host)) <NEW_LINE> <DEDENT> resu... | Implement a simple domain name to address resolver.
Use the an instance as a function to resolve host names. | 62599064a219f33f346c7f1e |
class AbortError(Exception): <NEW_LINE> <INDENT> pass | Any fatal errors that would prevent handroll from proceeding should
signal with the ``AbortError`` exception. | 62599064f548e778e596cca1 |
class RequestMetadata(proto.Message): <NEW_LINE> <INDENT> domain = proto.Field( proto.STRING, number=1, ) <NEW_LINE> session_id = proto.Field( proto.STRING, number=2, ) <NEW_LINE> user_id = proto.Field( proto.STRING, number=3, ) <NEW_LINE> allow_missing_ids = proto.Field( proto.BOOL, number=4, ) <NEW_LINE> device_info ... | Meta information related to the job searcher or entity
conducting the job search. This information is used to improve
the performance of the service.
Attributes:
domain (str):
Required if
[allow_missing_ids][google.cloud.talent.v4.RequestMetadata.allow_missing_ids]
is unset or ``false``.
... | 6259906467a9b606de54762e |
class ConstantLeaf: <NEW_LINE> <INDENT> def __init__(self, v): <NEW_LINE> <INDENT> self.v = v <NEW_LINE> <DEDENT> def to_str(self, indent="", feature_names=None): <NEW_LINE> <INDENT> return indent + "Constant(" + str(self.v) + ")" <NEW_LINE> <DEDENT> def __str__(self): <NEW_LINE> <INDENT> return self.to_str() <NEW_LINE... | Decision tree node which always predicts the same value. | 62599064435de62698e9d520 |
class DescribeCdnDataResponse(AbstractModel): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.Interval = None <NEW_LINE> self.Data = None <NEW_LINE> self.RequestId = None <NEW_LINE> <DEDENT> def _deserialize(self, params): <NEW_LINE> <INDENT> self.Interval = params.get("Interval") <NEW_LINE> if params.... | DescribeCdnData response structure.
| 62599064379a373c97d9a736 |
class Dao(object): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> @staticmethod <NEW_LINE> def db_2_file(db_helper, table, dst_file, column=0): <NEW_LINE> <INDENT> data = Dao.read_all(db_helper, table) <NEW_LINE> with codecs.open(dst_file, 'wb') as dst_fp: <NEW_LINE> <INDENT> for d... | 数据库访问对象 | 62599064442bda511e95d8e6 |
class ISliderPage(Interface): <NEW_LINE> <INDENT> pass | marker interface for a page that implements a slider | 6259906416aa5153ce401bf5 |
@dataclass <NEW_LINE> class ScaleByYogi(GradientTransformation[GenericGradientState, Weights], Generic[Weights]): <NEW_LINE> <INDENT> b1: RealNumeric = 0.9 <NEW_LINE> b2: RealNumeric = 0.999 <NEW_LINE> eps: RealNumeric = 1e-3 <NEW_LINE> eps_root: RealNumeric = 0.0 <NEW_LINE> initial_accumulator_value: RealNumeric = 1e-... | Rescale updates according to the Yogi algorithm.
References:
[Zaheer et al, 2018](https://papers.nips.cc/paper/2018/hash/90365351ccc7437a1309dc64e4db32a3-Abstract.html) # noqa, pylint: disable=line-too-long
Args:
b1: decay rate for the exponentially weighted average of grads.
b2: decay rate for the expone... | 6259906499cbb53fe68325fc |
class Url(models.Model): <NEW_LINE> <INDENT> class Meta: <NEW_LINE> <INDENT> verbose_name = "Url" <NEW_LINE> verbose_name_plural = "Urls" <NEW_LINE> <DEDENT> uuid = models.UUIDField( verbose_name="UUID", default=uuid.uuid4, editable=False, unique=True) <NEW_LINE> url = models.URLField( unique=False, verbose_name="URL",... | Url Model | 625990641b99ca40022900c2 |
class Stack: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.store = [] <NEW_LINE> <DEDENT> def push(self, item): <NEW_LINE> <INDENT> self.store.append(item) <NEW_LINE> <DEDENT> def pop(self): <NEW_LINE> <INDENT> return self.store.pop() <NEW_LINE> <DEDENT> def isempty(self): <NEW_LINE> <INDENT> return ... | implementation of a stack | 625990648e7ae83300eea7a6 |
class SubTaskError(AppError): <NEW_LINE> <INDENT> def __init__(self, message): <NEW_LINE> <INDENT> message = ''.join(['Sub task error: ', message]) <NEW_LINE> super().__init__(message) | This class describe error which appear when user try to work with
incorrect sub task | 625990648e7ae83300eea7a7 |
class Bullet_two(GameSprite): <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> super().__init__('/home/guobin/图片/bullet2.png',-2) <NEW_LINE> <DEDENT> def __del__(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def update(self): <NEW_LINE> <INDENT> self.rect.y += self.speed <NEW_LINE> if self.rect.bottom ... | 子弹精灵 | 625990647047854f46340ad3 |
class BRAINSAlignMSP(SEMLikeCommandLine): <NEW_LINE> <INDENT> input_spec = BRAINSAlignMSPInputSpec <NEW_LINE> output_spec = BRAINSAlignMSPOutputSpec <NEW_LINE> _cmd = " BRAINSAlignMSP " <NEW_LINE> _outputs_filenames = { "OutputresampleMSP": "OutputresampleMSP.nii", "resultsDir": "resultsDir", } <NEW_LINE> _redirect_x =... | title: Align Mid Saggital Brain (BRAINS)
category: Utilities.BRAINS
description: Resample an image into ACPC alignement ACPCDetect | 62599064a219f33f346c7f20 |
class StackMixin(BaseEvaluator): <NEW_LINE> <INDENT> def __init__(self, *args, **kwargs): <NEW_LINE> <INDENT> super().__init__(*args, **kwargs) <NEW_LINE> self._stack = [0] <NEW_LINE> <DEDENT> def _check_stack(self, var): <NEW_LINE> <INDENT> idx = int(var[1]) <NEW_LINE> stack_size = len(self._stack) <NEW_LINE> if stack... | This mixin manages the stack of a program. | 62599064627d3e7fe0e085a4 |
class HttpJsonRequest: <NEW_LINE> <INDENT> def __init__(self, url, encoding): <NEW_LINE> <INDENT> self._encoding = encoding <NEW_LINE> self._http = urlopen(url) <NEW_LINE> self._data_str = None <NEW_LINE> self._data = None <NEW_LINE> <DEDENT> def __repr__(self): <NEW_LINE> <INDENT> return f'<HttpJsonRequest: {self.url}... | Class for handling HTTP/JSON requests.
Use `HttpJsonClient` to create an instance. | 62599064462c4b4f79dbd120 |
class DatacenterHAFullTopo( Topo ): <NEW_LINE> <INDENT> def build( self, numRacks=4, numHostsPerRack=4, numHASwitches=2 ): <NEW_LINE> <INDENT> if numHASwitches >= 16: <NEW_LINE> <INDENT> raise Exception( "Please use less than 16 HA switches" ) <NEW_LINE> <DEDENT> self.racks = [] <NEW_LINE> rootSwitches = [] <NEW_LINE> ... | Configurable Datacenter Topology | 62599064f548e778e596cca3 |
class SalesforceAutomaticFields(SalesforceBaseTest): <NEW_LINE> <INDENT> start_date = (datetime.now() + timedelta(days=-1)).strftime("%Y-%m-%dT00:00:00Z") <NEW_LINE> @staticmethod <NEW_LINE> def expected_sync_streams(): <NEW_LINE> <INDENT> return { 'Account', 'Contact', 'Lead', 'Opportunity', 'User', } <NEW_LINE> <DED... | Test that with no fields selected for a stream automatic fields are still replicated | 62599064e5267d203ee6cf4b |
class Solution: <NEW_LINE> <INDENT> def rotate(self, matrix): <NEW_LINE> <INDENT> n = len(matrix) <NEW_LINE> for i in range(n / 2): <NEW_LINE> <INDENT> for j in range(n): <NEW_LINE> <INDENT> matrix[i][j], matrix[n - 1 - i][j] = matrix[n - 1 - i][j], matrix[i][j] <NEW_LINE> <DEDENT> <DEDENT> for i in range(n): <NEW_LINE... | @param matrix: A list of lists of integers
@return: Nothing | 6259906444b2445a339b74ed |
class Meta: <NEW_LINE> <INDENT> model = Notification <NEW_LINE> fields = ('id', 'timestamp', 'unread', 'description') | Defines fields to be returned to user | 62599064435de62698e9d522 |
class UserRegisterForm(UserCreationForm): <NEW_LINE> <INDENT> email = forms.EmailField(required=False) <NEW_LINE> class Meta: <NEW_LINE> <INDENT> model = User <NEW_LINE> fields = ['username', 'email', 'password1', 'password2'] | Form to create new user | 62599064435de62698e9d523 |
class TestObserverEvents(TestCase, RegexTestCase): <NEW_LINE> <INDENT> def test_on_newtab_changed(self): <NEW_LINE> <INDENT> patterns = ( 'Services.obs.addObserver(NewTabObserver, "newtab-url-changed", false);', ( 'var foo = Cc["foo"].getService(Ci.nsIObserverService);' 'foo.addObserver(NewTabObserver, "newtab-url-chan... | Tests that code related to observer events trigger warnings. | 6259906438b623060ffaa3de |
class CmdlineTest(Test): <NEW_LINE> <INDENT> def __init__(self, input_idx): <NEW_LINE> <INDENT> Test.__init__(self, input_idx) <NEW_LINE> self.fio = (None, None, None) <NEW_LINE> <DEDENT> def cmd(self): <NEW_LINE> <INDENT> c = [] <NEW_LINE> if self.prefix != None: <NEW_LINE> <INDENT> c.extend(self.prefix) <NEW_LINE> <D... | Represents cmdline tests. The input format is a tuple (A, I)
in which A is a list of arguments and I is a tuple of standard
I/O files (stdin, stdout, stderr). (None means using default) | 62599064d7e4931a7ef3d712 |
class FixedWithPts(Mortgage): <NEW_LINE> <INDENT> def __init__(self, loan, r, months, pts): <NEW_LINE> <INDENT> Mortgage.__init__(self, loan, r, months) <NEW_LINE> self.pts = pts <NEW_LINE> self.paid = [loan * (pts/100)] <NEW_LINE> self.legend = 'Fixed, ' + str(round(r*100, 2)) + '%, ' + str(pts) + ' points' | 先支付贷款总额的pts%，剩下的部分可以享受低利率 | 6259906492d797404e3896ea |
class PageContext(object): <NEW_LINE> <INDENT> def __init__(self, course, repo, commit_sha, flow_session, in_sandbox=False, page_uri=None): <NEW_LINE> <INDENT> self.course = course <NEW_LINE> self.repo = repo <NEW_LINE> self.commit_sha = commit_sha <NEW_LINE> self.flow_session = flow_session <NEW_LINE> self.in_sandbox ... | .. attribute:: course
.. attribute:: repo
.. attribute:: commit_sha
.. attribute:: flow_session
May be None.
.. attribute:: page_uri
Note that this is different from :class:`course.utils.FlowPageContext`,
which is used internally by the flow views. | 62599064be8e80087fbc07a2 |
class User(Resource): <NEW_LINE> <INDENT> def post(self): <NEW_LINE> <INDENT> response = Response() <NEW_LINE> request_validators = [ {'payload': {'data': json.loads(request.data), 'schema': UserCreatePayloadSchema}}, ] <NEW_LINE> ValidateRequest.validate(response, request_validators) <NEW_LINE> if response.errors: <NE... | This resource will handle all operations on User | 625990643617ad0b5ee0786b |
class RevResBottleneck(nn.Module): <NEW_LINE> <INDENT> def __init__(self, in_channels, out_channels, stride, preactivate, bottleneck_factor=4): <NEW_LINE> <INDENT> super(RevResBottleneck, self).__init__() <NEW_LINE> mid_channels = out_channels // bottleneck_factor <NEW_LINE> if preactivate: <NEW_LINE> <INDENT> self.con... | RevNet bottleneck block for residual path in RevNet 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.
preactivate : bool
Whether use pre-activation for the first convolut... | 625990645fdd1c0f98e5f69e |
class T85(Modular_joint): <NEW_LINE> <INDENT> def __init__(self, id, eds_file): <NEW_LINE> <INDENT> self.__reduction_ratio = 188.24 <NEW_LINE> Modular_joint.__init__(self, id, eds_file, self.__reduction_ratio) | T85 control base on the canopen | 625990643d592f4c4edbc5f8 |
class PageCyclerV2Top10Mobile(_PageCyclerV2): <NEW_LINE> <INDENT> @classmethod <NEW_LINE> def Name(cls): <NEW_LINE> <INDENT> return 'page_cycler_v2.top_10_mobile' <NEW_LINE> <DEDENT> def CreateStorySet(self, options): <NEW_LINE> <INDENT> return page_sets.Top10MobilePageSet(run_no_page_interactions=True, cache_temperatu... | Page load time benchmark for the top 10 mobile web pages.
Runs against pages recorded in November, 2013. | 62599064cb5e8a47e493cd12 |
class UserModelForm(forms.ModelForm): <NEW_LINE> <INDENT> class Meta: <NEW_LINE> <INDENT> model = User <NEW_LINE> fields = ('first_name', 'middle_name', 'last_name', 'phone', 'city', 'photo', 'position' ) <NEW_LINE> widgets = { 'first_name': widgets.TextInput(attrs={ 'placeholder': _('First name') }), 'middl... | ... | 625990647047854f46340ad4 |
class Token(object): <NEW_LINE> <INDENT> __slots__ = ('type', 'value', 'directive', 'end_of_context') <NEW_LINE> def __init__(self, type, value=None, directive=None, end_of_context=False): <NEW_LINE> <INDENT> self.type = type <NEW_LINE> self.value = value <NEW_LINE> self.directive = directive <NEW_LINE> self.end_of_con... | A token prepresents a part of a document with
references to a directive that processes that
token. | 625990644e4d562566373b22 |
class GlobalG(GlobalGCore): <NEW_LINE> <INDENT> def __init__(self, log=False): <NEW_LINE> <INDENT> GlobalGCore.__init__(self, log) <NEW_LINE> <DEDENT> def __getattribute__(self, name='x', *l): <NEW_LINE> <INDENT> if name.startswith('__') and name.endswith('__') or name in dir(GlobalGCore): <NEW_LINE> <INDENT> return Gl... | TODO:
for dev-tips:
after every operating in IPython@spyder, will read this instance 10+ times
some times will read attr like "__xx__" but not in dir(object): in this case
don't return anything just raise the Exception
if is instance.__getattribute__(name) try to use getattr(instance, name) in... | 62599064f548e778e596cca5 |
class UserInfoResponse: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.swaggerTypes = { 'result': 'UserInfoResult', 'status': 'str', 'error_message': 'str', 'composedOn': 'long' } <NEW_LINE> self.result = None <NEW_LINE> self.status = None <NEW_LINE> self.error_message = None <NEW_LINE> self.composedO... | NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually. | 6259906445492302aabfdbf7 |
class MicrosoftAzureTestUrl(object): <NEW_LINE> <INDENT> def __init__( self, credentials, subscription_id, api_version='2014-04-01-preview', accept_language='en-US', long_running_operation_retry_timeout=30, generate_client_request_id=True, base_url=None, filepath=None): <NEW_LINE> <INDENT> self.config = MicrosoftAzureT... | Some cool documentation.
:ivar config: Configuration for client.
:vartype config: MicrosoftAzureTestUrlConfiguration
:ivar group: Group operations
:vartype group: .operations.GroupOperations
:param credentials: Credentials needed for the client to connect to Azure.
:type credentials: :mod:`A msrestazure Credentials
... | 6259906432920d7e50bc7762 |
class Inventory: <NEW_LINE> <INDENT> def __init__(self): <NEW_LINE> <INDENT> self.items = {} <NEW_LINE> self.types = {} <NEW_LINE> self.total_count = 0 <NEW_LINE> for data in ItemTypes: <NEW_LINE> <INDENT> self.types[data.slot] = data <NEW_LINE> self.items[data.slot] = 0 <NEW_LINE> <DEDENT> <DEDENT> def set_item(self, ... | Inventory holds dictory of item counts where key is the item type and value is the count | 625990644e4d562566373b23 |
class ROISelector(object): <NEW_LINE> <INDENT> def __init__(self, image): <NEW_LINE> <INDENT> self.__image = image.copy() <NEW_LINE> <DEDENT> def SelectArea(self, winName="Select an area", winPos=(400, 400)): <NEW_LINE> <INDENT> self.__ResetPoints() <NEW_LINE> self.__winName = winName <NEW_LINE> cv2.namedWindow(winName... | This class returns the corners of the selected area as: [(UpperLeftcorner), (LowerRightCorner)].
Use the Right Mouse Button to set upper left hand corner and the Left Mouse Button to set the lower right corner.
Click on the image to set the area
Keys:
Enter/SPACE - OK
ESC/q - Exit (Cancel) | 62599064adb09d7d5dc0bc86 |
class ValloxStateProxy: <NEW_LINE> <INDENT> def __init__(self, hass, client): <NEW_LINE> <INDENT> self._hass = hass <NEW_LINE> self._client = client <NEW_LINE> self._metric_cache = {} <NEW_LINE> self._profile = None <NEW_LINE> self._valid = False <NEW_LINE> <DEDENT> def fetch_metric(self, metric_key): <NEW_LINE> <INDEN... | Helper class to reduce websocket API calls. | 625990643539df3088ecd9ba |
class Meta: <NEW_LINE> <INDENT> fields = ['trigger_conditions', 'end_conditions', 'task_templates'] | This class contains the serializer metadata. | 625990649c8ee82313040d16 |
class ArrayType(TypeDecorator): <NEW_LINE> <INDENT> impl = String <NEW_LINE> def process_bind_param(self, value, dialect): <NEW_LINE> <INDENT> return json.dumps(value) <NEW_LINE> <DEDENT> def process_result_value(self, value, dialect): <NEW_LINE> <INDENT> return json.loads(value) <NEW_LINE> <DEDENT> def copy(self, **kw... | Sqlite-like does not support arrays.
Let's use a custom type decorator.
See http://docs.sqlalchemy.org/en/latest/core/types.html#sqlalchemy.types.TypeDecorator | 625990643cc13d1c6d466e5f |
class SynapseSite(Site): <NEW_LINE> <INDENT> def __init__(self, logger_name, site_tag, config, resource, *args, **kwargs): <NEW_LINE> <INDENT> Site.__init__(self, resource, *args, **kwargs) <NEW_LINE> self.site_tag = site_tag <NEW_LINE> proxied = config.get("x_forwarded", False) <NEW_LINE> self.requestFactory = Synapse... | Subclass of a twisted http Site that does access logging with python's
standard logging | 6259906476e4537e8c3f0c9f |
class ZincArtifactFactory(object): <NEW_LINE> <INDENT> def __init__(self, workdir, context, zinc_utils): <NEW_LINE> <INDENT> self._workdir = workdir <NEW_LINE> self.context = context <NEW_LINE> self.zinc_utils = zinc_utils <NEW_LINE> self._classes_dirs_base = os.path.join(self._workdir, 'classes') <NEW_LINE> self._anal... | Creates objects representing zinc artifacts. | 62599064379a373c97d9a73a |
class LogisticNormal(TransformedDistribution): <NEW_LINE> <INDENT> arg_constraints = {'loc': constraints.real, 'scale': constraints.positive} <NEW_LINE> support = constraints.simplex <NEW_LINE> has_rsample = True <NEW_LINE> def __init__(self, loc, scale, validate_args=None): <NEW_LINE> <INDENT> base_dist = Normal(loc, ... | Creates a logistic-normal distribution parameterized by :attr:`loc` and :attr:`scale`
that define the base `Normal` distribution transformed with the
`StickBreakingTransform` such that::
X ~ LogisticNormal(loc, scale)
Y = log(X / (1 - X.cumsum(-1)))[..., :-1] ~ Normal(loc, scale)
Args:
loc (float or Tenso... | 6259906491f36d47f2231a1d |
class MobileDetectionMiddleware(object): <NEW_LINE> <INDENT> def process_request(self, request): <NEW_LINE> <INDENT> if request.GET.get('cordova', None): <NEW_LINE> <INDENT> if request.GET.get('cordova') == 'true': <NEW_LINE> <INDENT> request.session['cordova'] = True <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> reque... | Useful middleware to detect if the user is
on a mobile device.
http://djangosnippets.org/snippets/2001/ | 625990642ae34c7f260ac804 |
class Restaurant(): <NEW_LINE> <INDENT> def __init__(self, restaurant_name, cuisine_type): <NEW_LINE> <INDENT> self.restaurant_name = restaurant_name <NEW_LINE> self.cuisine_type = cuisine_type <NEW_LINE> <DEDENT> def describe_restaurant(self): <NEW_LINE> <INDENT> print(self.restaurant_name.title() + " serves delicious... | class to define attributes for restaurant instances and indicate if they're open or not | 6259906456ac1b37e6303875 |
class _IsString(object): <NEW_LINE> <INDENT> def __eq__(self, other): <NEW_LINE> <INDENT> return isinstance(other, basestring) | Helper class to be used when checking equality when you don't what the ID
is but you want to check that it's an ID | 6259906499cbb53fe6832600 |
class FeatureParser(object): <NEW_LINE> <INDENT> def __init__(self, debug_level=0, use_fuzziness=1, feature_cleaner=FeatureValueCleaner()): <NEW_LINE> <INDENT> self._scanner = GenBankScanner(debug_level) <NEW_LINE> self.use_fuzziness = use_fuzziness <NEW_LINE> self._cleaner = feature_cleaner <NEW_LINE> <DEDENT> def par... | Parse GenBank files into Seq + Feature objects (OBSOLETE).
Direct use of this class is discouraged, and may be deprecated in
a future release of Biopython.
Please use Bio.SeqIO.parse(...) or Bio.SeqIO.read(...) instead. | 6259906416aa5153ce401bf9 |
class DataProblem: <NEW_LINE> <INDENT> def __init__(self, json_file_path): <NEW_LINE> <INDENT> self._depot_ = 0 <NEW_LINE> self._json_path = json_file_path <NEW_LINE> self.data = DataTransformItem(self._json_path) <NEW_LINE> <DEDENT> def fit(self): <NEW_LINE> <INDENT> self.data.transform() <NEW_LINE> return self <NEW_L... | init data for vrp problem, vehicle, nodes, locations, demand etc. | 6259906497e22403b383c629 |
class IpClusterBackend(object): <NEW_LINE> <INDENT> def __init__(self, ctx): <NEW_LINE> <INDENT> self.ctx = ctx <NEW_LINE> <DEDENT> def run(self, loop, mapPlugin): <NEW_LINE> <INDENT> from IPython import parallel <NEW_LINE> client = parallel.Client() <NEW_LINE> view = client.load_balanced_view() <NEW_LINE> try: <NEW_LI... | Backend based on IPython cluster.
Will distribute the workload among the available engines. | 625990641b99ca40022900c4 |
class RunNoWorries(Run): <NEW_LINE> <INDENT> def __init__(self, cmd, **kwargs): <NEW_LINE> <INDENT> super(RunNoWorries, self).__init__(cmd, **kwargs) <NEW_LINE> self._post_exitcode_log_failure = self.log.debug | When the exitcode is >0, log.debug instead of log.error | 6259906421bff66bcd724382 |
class LinearDeformation(odl.Operator): <NEW_LINE> <INDENT> def __init__(self, fspace, vspace, grid, sigma): <NEW_LINE> <INDENT> self.grid = grid <NEW_LINE> self.sigma = sigma <NEW_LINE> super().__init__(odl.ProductSpace(fspace, vspace), fspace, False) <NEW_LINE> <DEDENT> def _call(self, x): <NEW_LINE> <INDENT> f, alpha... | A linear deformation given by:
``g(x) = f(x + v(x))``
Where ``f(x)`` is the input template and ``v(x)`` is the translation at
point ``x``. ``v(x)`` is computed using gaussian kernels with midpoints at
``grid``. | 62599064cb5e8a47e493cd13 |
class FileHandler(object): <NEW_LINE> <INDENT> def __init__(self, rootdir, default_file): <NEW_LINE> <INDENT> logging.debug("fh: user specified rootdir: %s", rootdir) <NEW_LINE> rootdir = os.path.abspath(os.path.realpath(os.path.abspath(rootdir))) <NEW_LINE> logging.debug("fh: absolute rootdir is: %s", rootdir) <NEW_LI... | File handler class | 625990640a50d4780f70694e |
class ParticalTree(object): <NEW_LINE> <INDENT> def __init__(self,root,df,momentumScale = 1): <NEW_LINE> <INDENT> self.tree = Treeview(root) <NEW_LINE> self.df = df <NEW_LINE> self.ms = momentumScale <NEW_LINE> fieldnames = list(self.df.columns.values) <NEW_LINE> self.tree['columns'] = fieldnames <NEW_LINE> self.tree.c... | description of class | 625990647d847024c075daf4 |
class QualificationDegree(ModelSQL, ModelView): <NEW_LINE> <INDENT> __name__ = 'rrhh.qualification.degree' <NEW_LINE> name = fields.Char('Name', required=True, translate=True) <NEW_LINE> active = fields.Boolean('Active') <NEW_LINE> @staticmethod <NEW_LINE> def default_active(): <NEW_LINE> <INDENT> return True | Qualification degree | 625990643539df3088ecd9bb |
class Plugin(GlancesPlugin): <NEW_LINE> <INDENT> def __init__(self, args=None, config=None): <NEW_LINE> <INDENT> super(Plugin, self).__init__(args=args, config=config) <NEW_LINE> self.display_curse = True <NEW_LINE> self.reset() <NEW_LINE> self.OPENSTACK = ThreadOpenStack() <NEW_LINE> self.OPENSTACK.start() <NEW_LINE> ... | Glances' cloud plugin.
The goal of this plugin is to retrieve additional information
concerning the datacenter where the host is connected.
See https://github.com/nicolargo/glances/issues/1029
stats is a dict | 625990643539df3088ecd9bc |
class OutboundRule(SubResource): <NEW_LINE> <INDENT> _attribute_map = { 'id': {'key': 'id', 'type': 'str'}, 'name': {'key': 'name', 'type': 'str'}, 'etag': {'key': 'etag', 'type': 'str'}, 'allocated_outbound_ports': {'key': 'properties.allocatedOutboundPorts', 'type': 'int'}, 'frontend_ip_configurations': {'key': 'prop... | Outbound rule of the load balancer.
:param id: Resource ID.
:type id: str
:param name: The name of the resource that is unique within a resource group. This name can be
used to access the resource.
:type name: str
:param etag: A unique read-only string that changes whenever the resource is updated.
:type etag: str
:p... | 625990641f5feb6acb164309 |
class List(ZenityBase): <NEW_LINE> <INDENT> def __init__(self, items, **kwargs): <NEW_LINE> <INDENT> self.dialog = 'list' <NEW_LINE> self.items = items <NEW_LINE> self.columns = [] <NEW_LINE> try: <NEW_LINE> <INDENT> kwargs['print-column'] = kwargs.pop('print_column') <NEW_LINE> <DEDENT> except KeyError: <NEW_LINE> <IN... | List dialog | 62599064d7e4931a7ef3d714 |
class Plugin: <NEW_LINE> <INDENT> def __init__(self, iface): <NEW_LINE> <INDENT> self.iface = iface <NEW_LINE> self.plugin_dir = os.path.dirname(__file__) <NEW_LINE> self.auto_curve_enabled = False <NEW_LINE> <DEDENT> def initGui(self): <NEW_LINE> <INDENT> self.toolbar = self.iface.addToolBar("Autocurve") <NEW_LINE> se... | QGIS Plugin Implementation. | 6259906476e4537e8c3f0ca1 |
class stopwatch: <NEW_LINE> <INDENT> def __init__(self, name = "stopwatch"): <NEW_LINE> <INDENT> self.name = name <NEW_LINE> self.startTime = time.time() <NEW_LINE> self.elapsedTime = 0.0 <NEW_LINE> self.running = False <NEW_LINE> self.lap = {} <NEW_LINE> <DEDENT> def start(self): <NEW_LINE> <INDENT> if not self.runnin... | Implements a timer with multiple named lap timers.
A newly created timer is NOT running.
Use start() and stop() to begin/end. Check boolean '.running'.
A lap timer is created on reference. | 625990642ae34c7f260ac805 |
class Rar( Archive ): <NEW_LINE> <INDENT> def scan_files( self, ext = 'nds' ): <NEW_LINE> <INDENT> list_archive = subprocess.Popen( [ 'unrar', 'lb', self.path ], stdout = subprocess.PIPE, stderr = subprocess.PIPE ) <NEW_LINE> for filename in list_archive.stdout.readlines(): <NEW_LINE> <INDENT> filename = filename.rstri... | Rar archive handler | 62599064498bea3a75a5918f |
class QmlRepresentationMode(six.with_metaclass(EnumMetaclass, QObject)): <NEW_LINE> <INDENT> pass | A QML ready version of rtneuron.RepresentationMode | 62599064a8370b77170f1aed |
class TestTestClass(unittest.TestCase): <NEW_LINE> <INDENT> def test_answer(self): <NEW_LINE> <INDENT> t = TestClass() <NEW_LINE> sa, a = t.answer_me("Why?") <NEW_LINE> self.failUnless(a == 42) | Test class tester
| 6259906456ac1b37e6303876 |
class TipoHabitacion(models.Model): <NEW_LINE> <INDENT> objects = TipoHabitacionManager() <NEW_LINE> slug = models.SlugField(max_length=20, unique=True) <NEW_LINE> descripcion = models.CharField(max_length=100) <NEW_LINE> minimo = models.PositiveSmallIntegerField(default=2, help_text = "Ocupación mínima Adultos") <NEW... | Define los tipos de habitacion posibles. Una habitación se define
por su ocupación mínima y máxima.
Si una habitación es de un tipo base indica que habrá un contrato con
cupo y precios especiales para este tipo de habitación | 6259906416aa5153ce401bfb |
class RawMeasurements(GenericAPIView): <NEW_LINE> <INDENT> permission_classes = (DjangoModelPermissionsOrAnonReadOnly,) <NEW_LINE> queryset = RawMeasurement.objects.none() <NEW_LINE> def post(self, request, *args, **kwargs): <NEW_LINE> <INDENT> tide_gauge = TideGauge.objects.get(slug=self.kwargs['tide_gauge_slug']) <NE... | Store raw measurements for a tide gauge. Predictions must be given in a
JSON array. Note that any bad prediction in the list will cause the
entire batch to be dropped. | 625990648e71fb1e983bd1ea |
class SilverServiceTaxi(Car): <NEW_LINE> <INDENT> def __init__(self, name, fuel, fancy): <NEW_LINE> <INDENT> super().__init__(name, fuel) <NEW_LINE> self.price_per_km = 1.20 <NEW_LINE> self.current_fare_distance = 0 <NEW_LINE> self.fanciness = fancy*self.price_per_km <NEW_LINE> self.flagfall = float(4.50) <NEW_LINE> se... | specialised version of a Car that includes fare costs | 625990647cff6e4e811b7165 |
class Cat(Pet): <NEW_LINE> <INDENT> def sound(self): <NEW_LINE> <INDENT> print('Мяу!') | Кошка - является Домашним Животным | 625990648e7ae83300eea7ac |
class Extractor(object): <NEW_LINE> <INDENT> def __init__(self, dataset, imgs_per_gpu, workers_per_gpu, dist_mode=False): <NEW_LINE> <INDENT> from openselfsup import datasets <NEW_LINE> if isinstance(dataset, Dataset): <NEW_LINE> <INDENT> self.dataset = dataset <NEW_LINE> <DEDENT> elif isinstance(dataset, dict): <NEW_L... | Feature extractor.
Args:
dataset (Dataset | dict): A PyTorch dataset or dict that indicates
the dataset.
imgs_per_gpu (int): Number of images on each GPU, i.e., batch size of
each GPU.
workers_per_gpu (int): How many subprocesses to use for data loading
for each GPU.
dist_mode (... | 62599064f548e778e596cca8 |
class Settings: <NEW_LINE> <INDENT> def __init__(self, default=True): <NEW_LINE> <INDENT> self.default = default <NEW_LINE> self.authenPath = self.getPath("authen") <NEW_LINE> accounts = self.setupAccounts() <NEW_LINE> self.hotmailAcc = accounts[0] <NEW_LINE> self.gmailAcc = accounts[1] <NEW_LINE> self.unknownAcc = acc... | Get and set all of the basic required information neccessary for the
email app to work. | 625990645fdd1c0f98e5f6a2 |
@registry.register_module('dataset') <NEW_LINE> class ConcatDataset(_ConcatDataset): <NEW_LINE> <INDENT> def __init__(self, datasets): <NEW_LINE> <INDENT> super(ConcatDataset, self).__init__(datasets) <NEW_LINE> self.CLASSES = datasets[0].CLASSES <NEW_LINE> if hasattr(datasets[0], 'flag'): <NEW_LINE> <INDENT> flags = [... | A wrapper of concatenated dataset.
Same as :obj:`torch.utils.data.dataset.ConcatDataset`, but
concat the group flag for image aspect ratio.
Args:
datasets (list[:obj:`Dataset`]): A list of datasets. | 625990643d592f4c4edbc5fc |
class QDesignerTaskMenuExtension(): <NEW_LINE> <INDENT> def preferredEditAction(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def taskActions(self): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> def __init__(self, QDesignerTaskMenuExtension=None): <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> __weakref__ = property... | QDesignerTaskMenuExtension()
QDesignerTaskMenuExtension(QDesignerTaskMenuExtension) | 62599064ac7a0e7691f73c04 |
class DeclaredOn(Relationship): <NEW_LINE> <INDENT> pass | Describes the relationship between a type and the properties that
instances of that type can have. | 6259906463d6d428bbee3e18 |
class RecipesManagerException(RuntimeError): <NEW_LINE> <INDENT> def __init__(self, value): <NEW_LINE> <INDENT> self.parameter = value <NEW_LINE> <DEDENT> def __str__(self): <NEW_LINE> <INDENT> return repr(self.parameter) | RecipesManager Error | 625990644e4d562566373b26 |
class EventProposer_C(pymc.Metropolis): <NEW_LINE> <INDENT> def __init__(self, stochastic, *args, **kwargs): <NEW_LINE> <INDENT> return super(self.__class__, self).__init__(stochastic, *args, **kwargs) <NEW_LINE> <DEDENT> def propose(self): <NEW_LINE> <INDENT> tau = 1./(self.adaptive_scale_factor * self.proposal_sd)**2... | Simple proposal distribution for Event objects for use in Metropolis samplers. | 62599064627d3e7fe0e085aa |
class BayModel(cluster_template.ClusterTemplate): <NEW_LINE> <INDENT> SSH_AUTHORIZED_KEY = 'ssh_authorized_key' <NEW_LINE> deprecate_msg = _('Please use OS::Magnum::ClusterTemplate instead.') <NEW_LINE> support_status = support.SupportStatus( status=support.HIDDEN, message=deprecate_msg, version='11.0.0', previous_stat... | A resource for the BayModel in Magnum.
This resource has been deprecated by ClusterTemplate.
BayModel is an object that stores template information about the bay which
is used to create new bays consistently. | 62599064b7558d5895464abe |
class TokenizedTweet: <NEW_LINE> <INDENT> SEPARATOR_CHARS = "" <NEW_LINE> STRIP_CHARS = "" <NEW_LINE> def __init__(self, tweet, sender, extra=None): <NEW_LINE> <INDENT> self.tweet = tweet <NEW_LINE> self.sender = sender <NEW_LINE> self.extra = extra | Represents one tokenized tweet.
Given a raw tweet and associated data, use this class to tokenize it and
hold the resulting files.
Has fields for the tweet's sender, its original author (if a retweet),
the retweet type (RT, MT), length apart from the retweet header,
and a field for extra data specific to a source. | 625990648da39b475be04909 |
class UserProfileInfo(models.Model): <NEW_LINE> <INDENT> user = models.OneToOneField(User, on_delete=models.CASCADE) <NEW_LINE> portfolio_site = models.URLField(blank=True) <NEW_LINE> profile_pic = models.ImageField(upload_to='profile_pics', blank=True) <NEW_LINE> def __str__(self): <NEW_LINE> <INDENT> return self.user... | Model class to add additional information that the django.contrib.auth.models.User class
doesn't have. We don't directly inherit from that User class, as it may cause the DB
to think that there are multiple instances of the User class. Instead we use a one-to-one
field relationship. | 62599064460517430c432be4 |
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