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Receiving the slot props is a bit different when using a single default slot vs. using named slots. We are going to show how to receive props using a single default slot first, by using v-slot directly on the child component tag:

If you are mixing named slots with the default scoped slot, you need to use an explicit tag for the default slot. Attempting to place the v-slot directive directly on the component will result in a compilation error. This is to avoid any ambiguity about the scope of the props of the default slot. For example:

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You may be wondering what would be a good use case for scoped slots. Here's an example: imagine a component that renders a list of items - it may encapsulate the logic for loading remote data, using the data to display a list, or even advanced features like pagination or infinite scrolling. However, we want it to be flexible with how each item looks and leave the styling of each item to the parent component consuming it. So the desired usage may look like this:

The use case we discussed above encapsulates both reusable logic (data fetching, pagination etc.) and visual output, while delegating part of the visual output to the consumer component via scoped slots.

If we push this concept a bit further, we can come up with components that only encapsulate logic and do not render anything by themselves - visual output is fully delegated to the consumer component with scoped slots. We call this type of component a Renderless Component.

Note that it is technically possible to use element without a element, e.g., within say a regular element, and still take advantage of the place-holder features of for Shadow DOM content, and doing so may indeed avoid the small trouble of needing to first access the template element's content property (and clone it). However, it is generally more practical to add slots within a element, since you are unlikely to need to define a pattern based on an already-rendered element.

\n Note that it is technically possible to use element without a element, e.g., within say a regular element, and still take advantage of the place-holder features of for Shadow DOM content, and doing so may indeed avoid the small trouble of needing to first access the template element's content property (and clone it).\n However, it is generally more practical to add slots within a element, since you are unlikely to need to define a pattern based on an already-rendered element.\n

Slots are defined in the slots section of your domain with their name,type and if and how they should influence the assistant'sbehavior.The following example defines a slot with name "slot_name", type text andpredefined slot mapping from_entity.

As of 3.0, slot mappings are defined in the slots section of the domain.This change removes the implicit mechanism of setting slots via auto-fill and replaces it with a new explicitmechanism of setting slots after every user message.You will need to explicitly define slot mappings for each slot in the slots section of domain.yml.If you are migrating from an earlier version, please read through the migration guideto update your assistant.

For example, in the example below, an entity date uniquely sets the slot arrival_date,an entity city with a role from uniquely sets the slot departure_city andan entity city with a role to uniquely sets the slot arrival_city,therefore they can be used to fit corresponding slotseven if these slots were not requested.However, entity city without a role can fill both departure_city and arrival_cityslots, depending which one is requested, so if an entity city is extracted whenslot arrival_date is requested, it'll be ignored by the form.

Note that the unique from_entity mapping constraint will not prevent filling slots which are not in the active form's required_slots;those mappings will apply as usual, regardless of the uniqueness of the mapping. To limit applicability of a slot mapping toa specific form, see Mapping Conditions.

The from_text mapping will use the text of the last user utterance to fill the slotslot_name. If intent_name is None, the slot will be filled regardless of intent name.Otherwise, the slot will only be filled if the user's intent is intent_name.

If conditions are not included in a slot mapping, the slot mapping will be applicable regardless of whetherany form is active. As long as a slot is listed in a form's required_slots, the form will prompt for the slotif it is empty when the form is activated.

This means that if a user sends their first message after 60 minutes of inactivity, anew conversation session is triggered, and that any existing slots are carried overinto the new session. Setting the value of session_expiration_time to 0 meansthat sessions will not end (note that the action_session_start action will stillbe triggered at the very beginning of conversations).

A session start triggers the default action action_session_start. Its defaultimplementation moves all existing slots into the new session. Note that allconversations begin with an action_session_start. Overriding this action couldfor instance be used to initialize the tracker with slots from an external APIcall, or to start the conversation with a bot message. The docs onCustomizing the session start action shows you how to do that.

The config key in the domain file maintains the store_entities_as_slots parameter.This parameter is used only in the context of reading stories and turning them into trackers. If the parameter is setto True, this will result in slots being implicitly set from entities if applicable entities are present in the story.When an entity matches the from_entity slot mapping, store_entities_as_slots defines whether the entity value shouldbe placed in that slot. Therefore, this parameter skips adding an explicit slot_was_set step manually in the story.By default, this behaviour is switched on.

If your account has extra member slots and you want to change your payment method to a partner package, you can link your account as instructed by Netflix and your provider. Since extra members cannot be added to partner packages or third-party billed accounts, we will cancel your extra member(s) immediately once activation is complete. The extra member(s) will receive an email confirmation.

One thing: in the subclass, you actuallly don't need to mark the overriden methods as slots. First, they're already implemented as slots in the base class. Second, you're just creating more work for the MOC and compiler since you're adding a (tiny) bit more code. Trivial, but whatever.

A BigQuery slot is a virtual CPU used by BigQueryto execute SQL queries. During the query execution, BigQueryautomatically calculates how many slots a query requires, depending on the querysize and complexity.

You have a choice of using an on-demand pricing modelor a capacity-based pricing model. Bothmodels useslots for data processing. With a capacity-based model, you can pay for dedicatedor autoscaled query processing capacity. The capacity-based model gives youexplicit control over slots and analytics capacity, whereas the on-demand modeldoes not.

Customers on the capacity-based pricing model explicitly choose how many slots toreserve. Your queries run within that capacity, and you pay for that capacitycontinuously every second it's deployed. For example, if you purchase 2,000BigQuery slots, your queries in aggregate are limited to using2,000 virtual CPUs at any given time. You have this capacity until you deleteit, and you pay for 2,000 slots until you delete them.

Projects on the BigQuery on-demand pricing model are subject toper-project slot quota with transient burstcapability. Most users on the on-demand model find the default slot capacitymore than sufficient. Depending on the workload, access to more slots improvesquery performance. To check how many slots your account uses, seeBigQuery monitoring.

BigQuery slots execute individual units of work at each stage ofthe query. For example, if BigQuery determines that a stage'soptimal parallelization factor is 10, it requests 10 slots to process thatstage.

If a query requests more slots than currently available, BigQueryqueues up individual units of work and waits for slots to become available.As progress on query execution is made, and as slots free up, thesequeued up units of work get dynamically picked up for execution.

BigQuery can request any number of slots for a particular stageof a query. The number of slots requested is not related to the amount ofcapacity you purchase, but rather an indication of the most optimalparallelization factor chosen by BigQuery for that stage. Unitsof work queue up and get executed as slots become available.

Slots are distributed fairly among projects and then within the jobs in theproject. This means that every query has access to all available slots at anytime, and capacity is dynamically and automatically re-allocated among activequeries as each query's capacity demands change. Queries complete and newqueries get submitted for execution under the following conditions:

Depending on complexity and size, a query might not require all the slots it hasthe right to, or it may require more. BigQuery dynamicallyensures that, given fair scheduling, all slots can be fully used at anypoint in time.

You can offer people a block of time on your calendar that they can book time slots within. For example, you can set aside 2 hours that you're available to meet with people in 30-minute slots. People can then book one of the 30-minute slots within that time.

When you create a block of appointment slots, the block shows up as a single event on your calendar. To confirm that an event is an appointment block, at the upper left corner of the event, find the Appointment block .

Tip: If you want to make the appointment block repeat, do so before you invite others to reserve a slot. When you make an existing appointment block with reserved slots repeat, the reserved slots get duplicated as new slots and double booking can occur. Learn how to make events repeat. 17dc91bb1f