kandi X-RAY | autotrack Summary
kandi X-RAY | autotrack Summary
Top functions reviewed by kandi - BETA
- Extracts attributes from given element
- This function is called when a link is clicked and the link is clicked .
- Creates the build object with the correct fields that match was provided
- Returns an item from the given element .
- Listener for storage events .
- Wrap callback with wait milliseconds .
- Parse the input .
- Tracks the usage of a plugin .
- Invoked when the document is ready .
- Pads string on zeros
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Trending Discussions on autotrack
I have a project running Ember@3.20. We are currently in the process of migrating from classic to glimmer based components and have come across some expensive computational patterns which would benefit from caching.
My question is, what is the best approach to caching functionality to getters for glimmer components? It looks like there are currently a few ways to do this:
- @cached via tracked-toolbox - I believe this was released prior to the ember cached api. I didn't peek under the hood but it has the has a @cached decorator which might collide with future ember @cached.
- ember-cache-primitive-polyfill - Mentioned in the Ember docs as a polyfill for the ember cached API (3.22) but the syntax isn't as concise as the @cached decorator
- ember-cached-decorator-polyfill - related to RFC566 appears to be based on option 2 with a more ergonomic syntax
- Upgrade to 3.22 - Trying to avoid bumping ember unless there is a significant benefit. At a glance, I didn't see @cached included here though.
Any additional insight/guidelines into how expensive a getter should be to warrant it being cached? For example, preventing re-renders seems a fairly obvious use case but there can be a wide range of what developers might consider an "expensive" computation....
ANSWERAnswered 2021-Jun-29 at 20:12
There are two categories of things here:
- The two
- The caching primitives introduced via RFC 0566.
In the vast majority of Ember or Glimmer app or normal library code, you’ll just be using the decorator. You’d only ever really reach for the caching primitives if you were building some low-level library code yourself (not never, but not exactly common, either).
As for the
@cached decorators, they have basically the same semantics. The tracked-toolbox version was research that fed into the the development of the primitive that Glimmer ships (and Ember uses), and so
ember-cached-decorator-polyfill is implemented using the actual public API—polyfilling it via
ember-cache-primitive-polyfill if necessary.
In terms of the performance characteristics, you don’t even actually need to think about it in terms of preventing re-renders: that’s not how the system works anyway. (See this blog post I wrote last year (2020) for a deep dive on how re-rendering gets scheduled in Ember and Glimmer using the autotracking concepts.) It’s also worth remembering that caching is not free! So it’s not as simple as “this thing costs something, so I should cache it”—the caching has to pay for itself to be worth it, and it costs both memory use and CPU time to create and to check caches.
With that caveat firmly in mind, I tend to think of “expense” here in the following categories:
- am I rendering this hundreds or thousands of times?
- does rendering this cause a long-running computation that will impact render (i.e. on the order of multiple milliseconds)
- does this trigger asynchronous behavior?
- (especially) does this trigger an API call?
In a lot of normal app code, the only getters you’ll really need to decorate with
@cached are getters which produce API calls based on the components’ arguments. Since the getter will otherwise be invoked every time it is referenced, you will end up with multiple API calls, which can produce a situation where the apparent state in the UI flips back and forth as references to different promises resolve.
The task itself is immediately launched, but it ends as quickly as possible, and I do not see the results of the task, it simply does not get into the pipeline. When I wrote the code and ran it with the
scrapy crawl command, everything worked as it should. I got this problem when using Celery.
My Celery worker logs:...
ANSWERAnswered 2021-Apr-08 at 19:57
Reason: Scrapy doesn't allow run other processes.
Solution: I used my own script - https://github.com/dtalkachou/scrapy-crawler-script
I have downloaded universal sentence encoder 2 to a computer without internet access and unpacked to a destination folder: 'data.'...
ANSWERAnswered 2021-Mar-30 at 08:49
It should work when you convert your list to a tensor:
I am trying to load Google Universal Sentence Encoder v1 with Tensorflow 2.4.1. GUSE v4 loads fine with tensorflow 2, and GUSE v1 loads with tensorflow 1, but unfortunately I need to run experiments with GUSE v1 using tensorflow 2 if possible.
First I tried:...
ANSWERAnswered 2021-Mar-12 at 05:11
I got this to work with
I have a problem with the async key, it didn't get the parameter that arrives in the onCreate method. Do you know maybe what the problem is? Problem getting parameter value in Android Code is below:...
ANSWERAnswered 2021-Feb-24 at 16:09
It looks like your AsyncTask is executing before onCreate.
Where are you calling AsyncTask?
i need to take data from intent. It works in onCreate method, but it doesn't work in Home class, which is bellow the onCreate method. I get this error: Can anyone help me, how i can fix this? To resolve: voznja_id works in oncreate method, but it doesn't work in Async Task class named Home. THANKS...
ANSWERAnswered 2021-Feb-18 at 18:38
I think your problem is because
ASyncTask class and it's running in the background when the
voznja object is not initialized yet.
you can pass the id of voznja through the parameters of
Home class constructor like this:
I need to retrieve data to listview from this link http://www.autotrack.rs/android_juzna_backa/get_voznja.php?. I need to send key, with value-POST method, to get something like this: http://www.autotrack.rs/android_juzna_backa/get_voznja.php?voznja_id=42. My code is bellow: Thanks. ERROR Value null at data of type org.json.JSONObject$1 cannot be converted to JSONArray...
ANSWERAnswered 2021-Jan-26 at 16:24
Your api response is JSONObject.
I'm trying to follow this guide to load a
I first save the trained model as follows
ANSWERAnswered 2020-Jun-25 at 08:09
This works for me
When saving a Keras model defined like this:...
ANSWERAnswered 2020-May-20 at 18:10
By upgrading Tensorflow to 2.1 with CUDA10 using Anaconda as below, the problem is solved.
I have the below code which uses the
iris data set to train a number of Machine Learning models:
I want to make predictions for the
keras model. The below code works and I am able to obtain predictions for all the models (except the
When I uncomment the
else if -
keras part of the code I obtain "errors" or the model produces.
ANSWERAnswered 2020-Feb-11 at 23:38
It seems to be an issue of not capturing all the attributes. If we do an
assignment, it would work. Below, show a single case by using only the keras model (Make changes by wrapping with the
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