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dict
q8600
DAWG.similar_keys
train
def similar_keys(self, key, replaces): """ Returns all variants of ``key`` in this DAWG according to ``replaces``. ``replaces`` is an object obtained from ``DAWG.compile_replaces(mapping)`` where mapping is a dict that maps single-char unicode sitrings to another single-...
python
{ "resource": "" }
q8601
DAWG.prefixes
train
def prefixes(self, key): ''' Returns a list with keys of this DAWG that are prefixes of the ``key``. ''' res = [] index = self.dct.ROOT if not isinstance(key, bytes): key = key.encode('utf8') pos = 1 for ch in key: index = self.dc...
python
{ "resource": "" }
q8602
BytesDAWG.similar_item_values
train
def similar_item_values(self, key, replaces): """ Returns a list of values for all variants of the ``key`` in this DAWG according to ``replaces``. ``replaces`` is an object obtained from ``DAWG.compile_replaces(mapping)`` where mapping is a dict that maps single-char uni...
python
{ "resource": "" }
q8603
Dictionary.value
train
def value(self, index): "Gets a value from a given index." offset = units.offset(self._units[index]) value_index = (index ^ offset) & units.PRECISION_MASK return units.value(self._units[value_index])
python
{ "resource": "" }
q8604
Dictionary.read
train
def read(self, fp): "Reads a dictionary from an input stream." base_size = struct.unpack(str("=I"), fp.read(4))[0] self._units.fromfile(fp, base_size)
python
{ "resource": "" }
q8605
Dictionary.contains
train
def contains(self, key): "Exact matching." index = self.follow_bytes(key, self.ROOT) if index is None: return False return self.has_value(index)
python
{ "resource": "" }
q8606
Dictionary.follow_char
train
def follow_char(self, label, index): "Follows a transition" offset = units.offset(self._units[index]) next_index = (index ^ offset ^ label) & units.PRECISION_MASK if units.label(self._units[next_index]) != label: return None return next_index
python
{ "resource": "" }
q8607
Dictionary.follow_bytes
train
def follow_bytes(self, s, index): "Follows transitions." for ch in s: index = self.follow_char(int_from_byte(ch), index) if index is None: return None return index
python
{ "resource": "" }
q8608
Completer.next
train
def next(self): "Gets the next key" if not self._index_stack: return False index = self._index_stack[-1] if self._last_index != self._dic.ROOT: child_label = self._guide.child(index) # UCharType if child_label: # Follows a transit...
python
{ "resource": "" }
q8609
convert_response
train
def convert_response(check_response, project_id): """Computes a http status code and message `CheckResponse` The return value a tuple (code, message, api_key_is_bad) where code: is the http status code message: is the message to return api_key_is_bad: indicates that a given api_key is bad Arg...
python
{ "resource": "" }
q8610
sign
train
def sign(check_request): """Obtains a signature for an operation in a `CheckRequest` Args: op (:class:`endpoints_management.gen.servicecontrol_v1_messages.Operation`): an operation used in a `CheckRequest` Returns: string: a secure hash generated from the operation """ if no...
python
{ "resource": "" }
q8611
Info.as_check_request
train
def as_check_request(self, timer=datetime.utcnow): """Makes a `ServicecontrolServicesCheckRequest` from this instance Returns: a ``ServicecontrolServicesCheckRequest`` Raises: ValueError: if the fields in this instance are insufficient to to create a valid ``Ser...
python
{ "resource": "" }
q8612
Aggregator.check
train
def check(self, req): """Determine if ``req`` is in this instances cache. Determine if there are cache hits for the request in this aggregator instance. Not in the cache If req is not in the cache, it returns ``None`` to indicate that the caller should send the request...
python
{ "resource": "" }
q8613
compare
train
def compare(a, b): """Compares two timestamps. ``a`` and ``b`` must be the same type, in addition to normal representations of timestamps that order naturally, they can be rfc3339 formatted strings. Args: a (string|object): a timestamp b (string|object): another timestamp Returns:...
python
{ "resource": "" }
q8614
to_rfc3339
train
def to_rfc3339(timestamp): """Converts ``timestamp`` to an RFC 3339 date string format. ``timestamp`` can be either a ``datetime.datetime`` or a ``datetime.timedelta``. Instances of the later are assumed to be a delta with the beginining of the unix epoch, 1st of January, 1970 The returned string...
python
{ "resource": "" }
q8615
from_rfc3339
train
def from_rfc3339(rfc3339_text, with_nanos=False): """Parse a RFC 3339 date string format to datetime.date. Example of accepted format: '1972-01-01T10:00:20.021-05:00' - By default, the result is a datetime.datetime - If with_nanos is true, the result is a 2-tuple, (datetime.datetime, nanos), where...
python
{ "resource": "" }
q8616
Info.as_operation
train
def as_operation(self, timer=datetime.utcnow): """Makes an ``Operation`` from this instance. Returns: an ``Operation`` """ now = timer() op = sc_messages.Operation( endTime=timestamp.to_rfc3339(now), startTime=timestamp.to_rfc3339(now), ...
python
{ "resource": "" }
q8617
Aggregator.as_operation
train
def as_operation(self): """Obtains a single `Operation` representing this instances contents. Returns: :class:`endpoints_management.gen.servicecontrol_v1_messages.Operation` """ result = encoding.CopyProtoMessage(self._op) names = sorted(self._metric_values_by_name_th...
python
{ "resource": "" }
q8618
Aggregator.add
train
def add(self, other_op): """Combines `other_op` with the operation held by this aggregator. N.B. It merges the operations log entries and metric values, but makes the assumption the operation is consistent. It's the callers responsibility to ensure consistency Args: ...
python
{ "resource": "" }
q8619
create_exponential
train
def create_exponential(num_finite_buckets, growth_factor, scale): """Creates a new instance of distribution with exponential buckets Args: num_finite_buckets (int): initializes number of finite buckets growth_factor (float): initializes the growth factor scale (float): initializes the scal...
python
{ "resource": "" }
q8620
create_linear
train
def create_linear(num_finite_buckets, width, offset): """Creates a new instance of distribution with linear buckets. Args: num_finite_buckets (int): initializes number of finite buckets width (float): initializes the width of each bucket offset (float): initializes the offset Return: ...
python
{ "resource": "" }
q8621
create_explicit
train
def create_explicit(bounds): """Creates a new instance of distribution with explicit buckets. bounds is an iterable of ordered floats that define the explicit buckets Args: bounds (iterable[float]): initializes the bounds Return: :class:`endpoints_management.gen.servicecontrol_v1_messag...
python
{ "resource": "" }
q8622
add_sample
train
def add_sample(a_float, dist): """Adds `a_float` to `dist`, updating its existing buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if `dist` does not ha...
python
{ "resource": "" }
q8623
merge
train
def merge(prior, latest): """Merge `prior` into `latest`. N.B, this mutates latest. It ensures that the statistics and histogram are updated to correctly include the original values from both instances. Args: prior (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): ...
python
{ "resource": "" }
q8624
_buckets_nearly_equal
train
def _buckets_nearly_equal(a_dist, b_dist): """Determines whether two `Distributions` are nearly equal. Args: a_dist (:class:`Distribution`): an instance b_dist (:class:`Distribution`): another instance Return: boolean: `True` if the two instances are approximately equal, otherwise ...
python
{ "resource": "" }
q8625
_update_general_statistics
train
def _update_general_statistics(a_float, dist): """Adds a_float to distribution, updating the statistics fields. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated """ if not dist.count:...
python
{ "resource": "" }
q8626
_update_exponential_bucket_count
train
def _update_exponential_bucket_count(a_float, dist): """Adds `a_float` to `dist`, updating its exponential buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueErr...
python
{ "resource": "" }
q8627
_update_linear_bucket_count
train
def _update_linear_bucket_count(a_float, dist): """Adds `a_float` to `dist`, updating the its linear buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if...
python
{ "resource": "" }
q8628
_update_explicit_bucket_count
train
def _update_explicit_bucket_count(a_float, dist): """Adds `a_float` to `dist`, updating its explicit buckets. Args: a_float (float): a new value dist (:class:`endpoints_management.gen.servicecontrol_v1_messages.Distribution`): the Distribution being updated Raises: ValueError: if...
python
{ "resource": "" }
q8629
scheduler.enterabs
train
def enterabs(self, time, priority, action, argument=(), kwargs=_sentinel): """Enter a new event in the queue at an absolute time. Returns an ID for the event which can be used to remove it, if necessary. """ if kwargs is _sentinel: kwargs = {} event = Event(...
python
{ "resource": "" }
q8630
scheduler.enter
train
def enter(self, delay, priority, action, argument=(), kwargs=_sentinel): """A variant that specifies the time as a relative time. This is actually the more commonly used interface. """ time = self.timefunc() + delay return self.enterabs(time, priority, action, argument, kwargs)
python
{ "resource": "" }
q8631
scheduler.cancel
train
def cancel(self, event): """Remove an event from the queue. This must be presented the ID as returned by enter(). If the event is not in the queue, this raises ValueError. """ with self._lock: self._queue.remove(event) heapq.heapify(self._queue)
python
{ "resource": "" }
q8632
check_valid
train
def check_valid(money): """Determine if an instance of `Money` is valid. Args: money (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): the instance to test Raises: ValueError: if the money instance is invalid """ if not isinstance(money, sc_messages.Money): ...
python
{ "resource": "" }
q8633
add
train
def add(a, b, allow_overflow=False): """Adds two instances of `Money`. Args: a (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): one money value b (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): another money value allow_overflow: dete...
python
{ "resource": "" }
q8634
_sign_of
train
def _sign_of(money): """Determines the amount sign of a money instance Args: money (:class:`endpoints_management.gen.servicecontrol_v1_messages.Money`): the instance to test Return: int: 1, 0 or -1 """ units = money.units nanos = money.nanos if units: if units ...
python
{ "resource": "" }
q8635
_check_jwt_claims
train
def _check_jwt_claims(jwt_claims): """Checks whether the JWT claims should be accepted. Specifically, this method checks the "exp" claim and the "nbf" claim (if present), and raises UnauthenticatedException if 1) the current time is before the time identified by the "nbf" claim, or 2) the current time ...
python
{ "resource": "" }
q8636
_verify_required_claims_exist
train
def _verify_required_claims_exist(jwt_claims): """Verifies that the required claims exist. Args: jwt_claims: the JWT claims to be verified. Raises: UnauthenticatedException: if some claim doesn't exist. """ for claim_name in [u"aud", u"exp", u"iss", u"sub"]: if claim_name not i...
python
{ "resource": "" }
q8637
Authenticator.authenticate
train
def authenticate(self, auth_token, auth_info, service_name): """Authenticates the current auth token. Args: auth_token: the auth token. auth_info: the auth configurations of the API method being called. service_name: the name of this service. Returns: A ...
python
{ "resource": "" }
q8638
Authenticator.get_jwt_claims
train
def get_jwt_claims(self, auth_token): """Decodes the auth_token into JWT claims represented as a JSON object. This method first tries to look up the cache and returns the result immediately in case of a cache hit. When cache misses, the method tries to decode the given auth token, verif...
python
{ "resource": "" }
q8639
create
train
def create(options, timer=None, use_deque=True): """Create a cache specified by ``options`` ``options`` is an instance of either :class:`endpoints_management.control.caches.CheckOptions` or :class:`endpoints_management.control.caches.ReportOptions` The returned cache is wrapped in a :class:`Locked...
python
{ "resource": "" }
q8640
to_cache_timer
train
def to_cache_timer(datetime_func): """Converts a datetime_func to a timestamp_func. Args: datetime_func (callable[[datatime]]): a func that returns the current time Returns: time_func (callable[[timestamp]): a func that returns the timestamp from the epoch """ if da...
python
{ "resource": "" }
q8641
distribute
train
def distribute(build): """ distribute the uranium package """ build.packages.install("wheel") build.packages.install("twine") build.executables.run([ "python", "setup.py", "sdist", "bdist_wheel", "--universal", "upload", ]) build.executables.run([ "twine", "upload", "dist...
python
{ "resource": "" }
q8642
use_gae_thread
train
def use_gae_thread(): """Makes ``Client``s started after this use the appengine thread class.""" global _THREAD_CLASS # pylint: disable=global-statement try: from google.appengine.api.background_thread import background_thread _THREAD_CLASS = background_thread.BackgroundThread except Im...
python
{ "resource": "" }
q8643
Client.start
train
def start(self): """Starts processing. Calling this method - starts the thread that regularly flushes all enabled caches. - enables the other methods on the instance to be called successfully """ with self._lock: if self._running: return ...
python
{ "resource": "" }
q8644
Client.check
train
def check(self, check_req): """Process a check_request. The req is first passed to the check_aggregator. If there is a valid cached response, that is returned, otherwise a response is obtained from the transport. Args: check_req (``ServicecontrolServicesCheckRequest`...
python
{ "resource": "" }
q8645
Client.report
train
def report(self, report_req): """Processes a report request. It will aggregate it with prior report_requests to be send later or it will send it immediately if that's appropriate. """ self.start() # no thread running, run the scheduler to ensure any pending # fl...
python
{ "resource": "" }
q8646
create
train
def create(labels=None, **kw): """Constructs a new metric value. This acts as an alternate to MetricValue constructor which simplifies specification of labels. Rather than having to create a MetricValue.Labels instance, all that's necessary to specify the required string. Args: labels (...
python
{ "resource": "" }
q8647
merge
train
def merge(metric_kind, prior, latest): """Merges `prior` and `latest` Args: metric_kind (:class:`MetricKind`): indicates the kind of metrics being merged prior (:class:`MetricValue`): an prior instance of the metric latest (:class:`MetricValue`: the latest instance of the metric ...
python
{ "resource": "" }
q8648
update_hash
train
def update_hash(a_hash, mv): """Adds ``mv`` to ``a_hash`` Args: a_hash (`Hash`): the secure hash, e.g created by hashlib.md5 mv (:class:`MetricValue`): the instance to add to the hash """ if mv.labels: signing.add_dict_to_hash(a_hash, encoding.MessageToPyValue(mv.labels)) mon...
python
{ "resource": "" }
q8649
sign
train
def sign(mv): """Obtains a signature for a `MetricValue` Args: mv (:class:`endpoints_management.gen.servicecontrol_v1_messages.MetricValue`): a MetricValue that's part of an operation Returns: string: a unique signature for that operation """ md5 = hashlib.md5() update_h...
python
{ "resource": "" }
q8650
KeyUriSupplier.supply
train
def supply(self, issuer): """Supplies the `jwks_uri` for the given issuer. Args: issuer: the issuer. Returns: The `jwks_uri` that is either statically configured or retrieved via OpenId discovery. None is returned when the issuer is unknown or the OpenId...
python
{ "resource": "" }
q8651
JwksSupplier.supply
train
def supply(self, issuer): """Supplies the `Json Web Key Set` for the given issuer. Args: issuer: the issuer. Returns: The successfully retrieved Json Web Key Set. None is returned if the issuer is unknown or the retrieval process fails. Raises: ...
python
{ "resource": "" }
q8652
KnownLabels.matches
train
def matches(self, desc): """Determines if a given label descriptor matches this enum instance Args: desc (:class:`endpoints_management.gen.servicemanagement_v1_messages.LabelDescriptor`): the instance to test Return: `True` if desc is supported, otherwise `F...
python
{ "resource": "" }
q8653
KnownLabels.do_labels_update
train
def do_labels_update(self, info, labels): """Updates a dictionary of labels using the assigned update_op_func Args: info (:class:`endpoints_management.control.report_request.Info`): the info instance to update labels (dict[string[string]]): the labels dictionary ...
python
{ "resource": "" }
q8654
KnownLabels.is_supported
train
def is_supported(cls, desc): """Determines if the given label descriptor is supported. Args: desc (:class:`endpoints_management.gen.servicemanagement_v1_messages.LabelDescriptor`): the label descriptor to test Return: `True` if desc is supported, otherwise `F...
python
{ "resource": "" }
q8655
extract_report_spec
train
def extract_report_spec( service, label_is_supported=label_descriptor.KnownLabels.is_supported, metric_is_supported=metric_descriptor.KnownMetrics.is_supported): """Obtains the used logs, metrics and labels from a service. label_is_supported and metric_is_supported are filter functions ...
python
{ "resource": "" }
q8656
MethodRegistry._extract_auth_config
train
def _extract_auth_config(self): """Obtains the authentication configurations.""" service = self._service if not service.authentication: return {} auth_infos = {} for auth_rule in service.authentication.rules: selector = auth_rule.selector pro...
python
{ "resource": "" }
q8657
MethodRegistry._extract_methods
train
def _extract_methods(self): """Obtains the methods used in the service.""" service = self._service all_urls = set() urls_with_options = set() if not service.http: return for rule in service.http.rules: http_method, url = _detect_pattern_option(rule...
python
{ "resource": "" }
q8658
fetch_service_config
train
def fetch_service_config(service_name=None, service_version=None): """Fetches the service config from Google Service Management API. Args: service_name: the service name. When this argument is unspecified, this method uses the value of the "SERVICE_NAME" environment variable as the servic...
python
{ "resource": "" }
q8659
add_all
train
def add_all(application, project_id, control_client, loader=service.Loaders.FROM_SERVICE_MANAGEMENT): """Adds all endpoints middleware to a wsgi application. Sets up application to use all default endpoints middleware. Example: >>> application = MyWsgiApp() # an existing WSGI applicati...
python
{ "resource": "" }
q8660
_sign_operation
train
def _sign_operation(op): """Obtains a signature for an operation in a ReportRequest. Args: op (:class:`endpoints_management.gen.servicecontrol_v1_messages.Operation`): an operation used in a `ReportRequest` Returns: string: a unique signature for that operation """ md5 = has...
python
{ "resource": "" }
q8661
ReportingRules.from_known_inputs
train
def from_known_inputs(cls, logs=None, metric_names=None, label_names=None): """An alternate constructor that assumes known metrics and labels. This differs from the default constructor in that the metrics and labels are iterables of names of 'known' metrics and labels respectively. The ...
python
{ "resource": "" }
q8662
Info._as_log_entry
train
def _as_log_entry(self, name, now): """Makes a `LogEntry` from this instance for the given log_name. Args: rules (:class:`ReportingRules`): determines what labels, metrics and logs to include in the report request. now (:class:`datetime.DateTime`): the current time ...
python
{ "resource": "" }
q8663
Info.as_report_request
train
def as_report_request(self, rules, timer=datetime.utcnow): """Makes a `ServicecontrolServicesReportRequest` from this instance Args: rules (:class:`ReportingRules`): determines what labels, metrics and logs to include in the report request. timer: a function that determi...
python
{ "resource": "" }
q8664
Aggregator.clear
train
def clear(self): """Clears the cache.""" if self._cache is None: return _NO_RESULTS if self._cache is not None: with self._cache as k: res = [x.as_operation() for x in k.values()] k.clear() k.out_deque.clear() ...
python
{ "resource": "" }
q8665
Aggregator.report
train
def report(self, req): """Adds a report request to the cache. Returns ``None`` if it could not be aggregated, and callers need to send the request to the server, otherwise it returns ``CACHED_OK``. Args: req (:class:`sc_messages.ReportRequest`): the request to b...
python
{ "resource": "" }
q8666
convert_response
train
def convert_response(allocate_quota_response, project_id): """Computes a http status code and message `AllocateQuotaResponse` The return value a tuple (code, message) where code: is the http status code message: is the message to return Args: allocate_quota_response (:class:`endpoints_mana...
python
{ "resource": "" }
q8667
sign
train
def sign(allocate_quota_request): """Obtains a signature for an operation in a `AllocateQuotaRequest` Args: op (:class:`endpoints_management.gen.servicecontrol_v1_messages.Operation`): an operation used in a `AllocateQuotaRequest` Returns: string: a secure hash generated from the op...
python
{ "resource": "" }
q8668
Info.as_allocate_quota_request
train
def as_allocate_quota_request(self, timer=datetime.utcnow): """Makes a `ServicecontrolServicesAllocateQuotaRequest` from this instance Returns: a ``ServicecontrolServicesAllocateQuotaRequest`` Raises: ValueError: if the fields in this instance are insufficient to ...
python
{ "resource": "" }
q8669
add_route
train
def add_route(app_or_blueprint, fn, context=default_context): """ a decorator that adds a transmute route to the application """ transmute_func = TransmuteFunction( fn, args_not_from_request=["request"] ) handler = create_handler(transmute_func, context=context) get_swagger_s...
python
{ "resource": "" }
q8670
KnownMetrics.matches
train
def matches(self, desc): """Determines if a given metric descriptor matches this enum instance Args: desc (:class:`endpoints_management.gen.servicecontrol_v1_messages.MetricDescriptor`): the instance to test Return: `True` if desc is supported, otherwise `Fa...
python
{ "resource": "" }
q8671
KnownMetrics.do_operation_update
train
def do_operation_update(self, info, an_op): """Updates an operation using the assigned update_op_func Args: info: (:class:`endpoints_management.control.report_request.Info`): the info instance to update an_op: (:class:`endpoints_management.control.report_request.Info...
python
{ "resource": "" }
q8672
KnownMetrics.is_supported
train
def is_supported(cls, desc): """Determines if the given metric descriptor is supported. Args: desc (:class:`endpoints_management.gen.servicecontrol_v1_messages.MetricDescriptor`): the metric descriptor to test Return: `True` if desc is supported, otherwise `F...
python
{ "resource": "" }
q8673
add_dict_to_hash
train
def add_dict_to_hash(a_hash, a_dict): """Adds `a_dict` to `a_hash` Args: a_hash (`Hash`): the secure hash, e.g created by hashlib.md5 a_dict (dict[string, [string]]): the dictionary to add to the hash """ if a_dict is None: return for k, v in a_dict.items(): a_hash.up...
python
{ "resource": "" }
q8674
create_swagger_json_handler
train
def create_swagger_json_handler(app, **kwargs): """ Create a handler that returns the swagger definition for an application. This method assumes the application is using the TransmuteUrlDispatcher as the router. """ spec = get_swagger_spec(app) _add_blueprint_specs(app, spec) spec_d...
python
{ "resource": "" }
q8675
FQDN.absolute
train
def absolute(self): """ The FQDN as a string in absolute form """ if not self.is_valid: raise ValueError('invalid FQDN `{0}`'.format(self.fqdn)) if self.is_valid_absolute: return self.fqdn return '{0}.'.format(self.fqdn)
python
{ "resource": "" }
q8676
FQDN.relative
train
def relative(self): """ The FQDN as a string in relative form """ if not self.is_valid: raise ValueError('invalid FQDN `{0}`'.format(self.fqdn)) if self.is_valid_absolute: return self.fqdn[:-1] return self.fqdn
python
{ "resource": "" }
q8677
PipedGzipReader._raise_if_error
train
def _raise_if_error(self): """ Raise IOError if process is not running anymore and the exit code is nonzero. """ retcode = self.process.poll() if retcode is not None and retcode != 0: message = self._stderr.read().strip() raise IOError(message)
python
{ "resource": "" }
q8678
MAB.run
train
def run(self, trials=100, strategy=None, parameters=None): ''' Run MAB test with T trials. Parameters ---------- trials : int Number of trials to run. strategy : str Name of selected strategy. parameters : dict Parameters for s...
python
{ "resource": "" }
q8679
MAB._run
train
def _run(self, strategy, parameters=None): ''' Run single trial of MAB strategy. Parameters ---------- strategy : function parameters : dict Returns ------- None ''' choice = self.run_strategy(strategy, parameters) self.c...
python
{ "resource": "" }
q8680
MAB.bayesian
train
def bayesian(self, params=None): ''' Run the Bayesian Bandit algorithm which utilizes a beta distribution for exploration and exploitation. Parameters ---------- params : None For API consistency, this function can take a parameters argument, but ...
python
{ "resource": "" }
q8681
MAB.softmax
train
def softmax(self, params): ''' Run the softmax selection strategy. Parameters ---------- Params : dict Tau Returns ------- int Index of chosen bandit ''' default_tau = 0.1 if params and type(params) == di...
python
{ "resource": "" }
q8682
MAB.ucb
train
def ucb(self, params=None): ''' Run the upper confidence bound MAB selection strategy. This is the UCB1 algorithm described in https://homes.di.unimi.it/~cesabian/Pubblicazioni/ml-02.pdf Parameters ---------- params : None For API consistency, this f...
python
{ "resource": "" }
q8683
MAB.best
train
def best(self): ''' Return current 'best' choice of bandit. Returns ------- int Index of bandit ''' if len(self.choices) < 1: print('slots: No trials run so far.') return None else: return np.argmax(self.wi...
python
{ "resource": "" }
q8684
MAB.est_payouts
train
def est_payouts(self): ''' Calculate current estimate of average payout for each bandit. Returns ------- array of floats or None ''' if len(self.choices) < 1: print('slots: No trials run so far.') return None else: ret...
python
{ "resource": "" }
q8685
MAB.regret
train
def regret(self): ''' Calculate expected regret, where expected regret is maximum optimal reward - sum of collected rewards, i.e. expected regret = T*max_k(mean_k) - sum_(t=1-->T) (reward_t) Returns ------- float ''' return (sum(self.pulls)*np.m...
python
{ "resource": "" }
q8686
MAB.crit_met
train
def crit_met(self): ''' Determine if stopping criterion has been met. Returns ------- bool ''' if True in (self.pulls < 3): return False else: return self.criteria[self.criterion](self.stop_value)
python
{ "resource": "" }
q8687
MAB.regret_met
train
def regret_met(self, threshold=None): ''' Determine if regret criterion has been met. Parameters ---------- threshold : float Returns ------- bool ''' if not threshold: return self.regret() <= self.stop_value elif sel...
python
{ "resource": "" }
q8688
MAB.online_trial
train
def online_trial(self, bandit=None, payout=None, strategy='eps_greedy', parameters=None): ''' Update the bandits with the results of the previous live, online trial. Next run a the selection algorithm. If the stopping criteria is met, return the best arm esti...
python
{ "resource": "" }
q8689
MAB.update
train
def update(self, bandit, payout): ''' Update bandit trials and payouts for given bandit. Parameters ---------- bandit : int Bandit index payout : float Returns ------- None ''' self.choices.append(bandit) self...
python
{ "resource": "" }
q8690
Bandits.pull
train
def pull(self, i): ''' Return the payout from a single pull of the bandit i's arm. Parameters ---------- i : int Index of bandit. Returns ------- float or None ''' if self.live: if len(self.payouts[i]) > 0: ...
python
{ "resource": "" }
q8691
click_table_printer
train
def click_table_printer(headers, _filter, data): """Generate space separated output for click commands.""" _filter = [h.lower() for h in _filter] + [h.upper() for h in _filter] headers = [h for h in headers if not _filter or h in _filter] # Maximum header width header_widths = [len(h) for h in heade...
python
{ "resource": "" }
q8692
calculate_hash_of_dir
train
def calculate_hash_of_dir(directory, file_list=None): """Calculate hash of directory.""" md5_hash = md5() if not os.path.exists(directory): return -1 try: for subdir, dirs, files in os.walk(directory): for _file in files: file_path = os.path.join(subdir, _fil...
python
{ "resource": "" }
q8693
calculate_job_input_hash
train
def calculate_job_input_hash(job_spec, workflow_json): """Calculate md5 hash of job specification and workflow json.""" if 'workflow_workspace' in job_spec: del job_spec['workflow_workspace'] job_md5_buffer = md5() job_md5_buffer.update(json.dumps(job_spec).encode('utf-8')) job_md5_buffer.up...
python
{ "resource": "" }
q8694
calculate_file_access_time
train
def calculate_file_access_time(workflow_workspace): """Calculate access times of files in workspace.""" access_times = {} for subdir, dirs, files in os.walk(workflow_workspace): for file in files: file_path = os.path.join(subdir, file) access_times[file_path] = os.stat(file_p...
python
{ "resource": "" }
q8695
copy_openapi_specs
train
def copy_openapi_specs(output_path, component): """Copy generated and validated openapi specs to reana-commons module.""" if component == 'reana-server': file = 'reana_server.json' elif component == 'reana-workflow-controller': file = 'reana_workflow_controller.json' elif component == 'r...
python
{ "resource": "" }
q8696
get_workflow_status_change_verb
train
def get_workflow_status_change_verb(status): """Give the correct verb conjugation depending on status tense. :param status: String which represents the status the workflow changed to. """ verb = '' if status.endswith('ing'): verb = 'is' elif status.endswith('ed'): verb = 'has be...
python
{ "resource": "" }
q8697
build_progress_message
train
def build_progress_message(total=None, running=None, finished=None, failed=None, cached=None): """Build the progress message with correct formatting.""" progress_message = {} if total: progres...
python
{ "resource": "" }
q8698
build_caching_info_message
train
def build_caching_info_message(job_spec, job_id, workflow_workspace, workflow_json, result_path): """Build the caching info message with correct formatting.""" caching_info_message = { ...
python
{ "resource": "" }
q8699
get_workspace_disk_usage
train
def get_workspace_disk_usage(workspace, summarize=False): """Retrieve disk usage information of a workspace.""" command = ['du', '-h'] if summarize: command.append('-s') else: command.append('-a') command.append(workspace) disk_usage_info = subprocess.check_output(command).decode...
python
{ "resource": "" }