dnd 5th – If an Arcane Archer fighter misses with an Arcane Shot, does it cost to use the feature?

(Xanathar's Guide to Everything, page 28)

Under Arcane Shot, during the first description of the functionality, it indicates:

Once per turn when you shoot an arrow from a short bow or a long bow as part of the Attack action, you can apply any of your Arcane Shot options to that arrow. You decide to use the option when the arrow hits a creature, unless the option does not involve an attack roll. You have two uses of this ability, and you recover all the uses spent when you finish a short or a long rest.

And it says:

Bright arrow

You imbue your arrow with force energy drawn from the school of evocation. Energy explodes after your attack. Immediately after the arrow hit the creature, the target and all other creatures within 10 feet of it take 2d6 points of force damage each.

(Underline mine)

So I don't think you are using the functionality until you know that the attack was successful, so you would not lose the functionality if you missed it.

Customization of Thingsboard telemetry Cannot convert using the post-processing feature in the widget

Widget cards

data post-processing functions

The right map widget in this image is the original telemetry and I want to convert the on / off output like the left side of the map widget, and it looks easy on the right. But after several attempts of my codes, nothing works well because the output should be as if it is true = On, false = Off. But at the moment, it only displays one output which is true = on and ignores the other conditions. Maybe someone had these problems and wanted to help me understand what was going on here.

python – How to move Sci-kit Learn Feature Pipeline to the cloud?

How to pre-process data or run a feature engineering pipeline using a sklearn pipeline and scale to the cloud? We use Mlflow to store this custom pipeline and its metadata in the Google Cloud Storage bucket using mlflow. Now, I want to take this marinated pipeline object and run it on an SQL query or raw data source to derive the functionality, but I want to do it in a distributed way using GCP. These features should be stored in a data warehouse like Snowflake. Is there a way to do this without getting away from Sklearn pipelines (even if I know things like spark MLlib exist)? I've looked at Dataflow and Apache Beam, but I'm not sure if it would work.

Here is an example of a custom pipeline in sklearn:

num_pipeline = FeaturePipeline((
    ('feature_selection', selector.FeatureSelector(('id', 'bookings', 'quantity'))),
    ('imputer', imputer.CustomFeatureImputer(cols=('bookings', 'quantity'))),
    ('new_feature', aggregation.AddNewFeature(feature='bookings_per_unit', cols=('bookings', 'quantity'),
                                              operator="https://stackoverflow.com/"))
    ))

cat_pipeline = FeaturePipeline((
    ('feature_selector', selector.FeatureSelector(('certification'))),
    ('dummify', categorical.DummyTransformer())
))

full_pipeline = PipeUnion(transformer_list=(
    ('num_pipeline', num_pipeline),
    ('cat_pipeline', cat_pipeline)
))

dnd 5th – How does level advancement in the Beast Master Ranger affect stats for a UA class feature variant, the Ranger Companion option; Beast of Air / Earth?

I don't know how to reconcile the UA-enhanced class functionality variant; Ranger Companion option with Beast Master Ranger Companion functionality rules (PHB p.93).

More specifically, in the case of a 5th level Ranger who chooses an Air Beast. Would the Ranger add his skill bonus (3) to AC beasts, attack rolls, damage rolls, save rolls, skills?

If so, what the resulting block of statistics would look like for a Beast of the Air companion for a 5th level Beast Master Ranger.

If not, please explain why the Rangers' skill is not added.

Convert Spring Cloud Stream to use the responsive cloud feature

Currently, I have a Spring Boot app that looks like this.

@Component
@EnableBinding(Source::class)
class EmailMessageProducer(private val source: Source) {

    suspend fun send(textMessage: TextMessage) {

        source.output().send(
            MessageBuilder.withPayload(textMessage).setHeader("service", "test").build()
        )
    }
}

I would like to use the Spring Cloud function here using a responsive model.

Also, is my current solution non-blocking? I ask this question because it is the first time that I have used Kotlin coroutine in this context.

How do I point out to the user that Google Assistant is enabled for this feature?

I'm working on a feature that allows the user to interact with Google Assistant to get things done by voice. Instead of marketing that activates Google Assistant, how can I display it on the app itself? Any suggestion?

How to point out to the user, there is google assistant enable for this feature?

I am working on a feature that we can interact with the google assistant to do things by voice. instead of marketing that activates GA, how can I display it on the app itself? Any suggestion?

data tables – Is it worth exposing the score of a relevance search to the user as a feature or function?

So our main search tool will get a relevance search, which means that the output is sorted somewhat by the importance of an entry. Before that, the entries were sorted by date and if two entries had the same date, the order of the entries was not specified.

If a customer is going to search for elements with the relevance search, the table is ordered according to the number of words struck in several fields, the date also has a certain influence.

The order of entries is calculated by the backend (or db, I don't know) and could be exposed in the user table as a clean column, which could also be used to filter entries with low relevance aka low score.

I think this should not be done, as I mainly think that it is wrong to charge the user with the complexity used to give elegant behavior.
But the rest of the team insists on doing it, to give the user the power to filter out irrelevant entries.

So is there a general council? Is this a good idea? Does anyone do it?

magento2 – Deprecated feature of Magento 2 Redis, which prevents Magento from starting

Magento 2 does not start. The logs show this error:

Obsolete functionality: implode (): transmission of the paste chain after the array is obsolete. Exchange the parameters in vendor / colinmollenhour / credis / Client.php on line 1414

I have a standard Redis installation and this is part of it (although I did not install it directly):
https://github.com/colinmollenhour/Cm_RedisSession

There is no custom code in the site. Redis was installed in the usual way according to these Magento development documents.

Here is the code referenced by the error message:

   1406     /**
   1407      * Build the Redis unified protocol command
   1408      *
   1409      * @param array $args
   1410      * @return string
   1411      */
   1412     private static function _prepare_command($args)
   1413     {
   1414         return sprintf('*%d%s%s%s', count($args), CRLF, implode(array_map(array('self', '_map'), $args), CRLF), CRLF);
   1415     }

Has anyone ever encountered this error? Is there a solution (other than disabling Redis)?

Version information:

  • Magento ver. 2.3.3
  • repeat 5.0.7
  • redis-cli 5.0.7

EDIT: I opened a problem on GitHub.

code smell – Feature Envy vs. Principle of unique responsibility: data class and a validator for it

Let's say that I have a class that is little more than a pure Data object, that is, it contains basic data and queries on that data. (In this case, it is a class representing a timetable)

Now, I want to run some validation checks on this data object, and I think it's a separate responsibility from representing the calendar. So, there should be a class ScheduleValidator or something to that extent.

However, the validator will of course interrogate many things from the time class (checking certain conflicts, certain capacity overloads, etc.) in order to decide whether the calendar is valid or not according to certain rules. Would that count as a desire for functionality? If not, why not? if yes, what to do?