share-on | allows users to share the topics and posts | Social Channel Utils library
kandi X-RAY | share-on Summary
kandi X-RAY | share-on Summary
Share On is an extension for phpBB that allows users to share the topics and posts on social networks.
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Top functions reviewed by kandi - BETA
- main method
- View a post row
- Setup common variables
- Retrieve module options
- Returns a list of events that subscribe to
- Get the update data .
- Whether the share is installed .
- Get the package dependencies .
share-on Key Features
share-on Examples and Code Snippets
Community Discussions
Trending Discussions on share-on
QUESTION
I'm trying to create a simple script in ViolentMonkey to run on Letterboxd.com film pages - e.g. https://letterboxd.com/film/mirror/.
I'm aiming to remove certain elements from the page - namely, the average rating and the facebook share buttons.
My script looks like so:
...ANSWER
Answered 2021-Jan-26 at 22:32The problem here seems to be that the rating graph (incl. the average rating) is loaded asynchronous and thus is not present when your script runs.
In order to counter this, you could listen for changes of the parent .sidebar element and then remove it as soon as it's present:
QUESTION
I'm making small plugin to share the post in my word-press
Everything work but I can't get a string to be translatable throw wpml.
Bear with me it's not a question about wpml, My problem is that I can't figure how to add Get text to my code in the right way.
Here is my code:
...ANSWER
Answered 2021-Jan-20 at 14:47You can't embed a function like that into a string, only simple things can be done that way. Instead, you want to concatenate which can be done in a couple of ways, but this is probably the easiest. Also, instead of _e() which echos the text, I'm using __() to just translate
QUESTION
I'm trying to migrate my app from LinkedIn API v1 to v2. I'm currently looking at sharing images (natively) to my personal LinkedIn profile.
I'm following the official docs here: https://docs.microsoft.com/en-us/linkedin/consumer/integrations/self-serve/share-on-linkedin#create-an-image-share
To register the image I made the following POST request: to https://api.linkedin.com/v2/assets?action=registerUpload
...ANSWER
Answered 2019-Jan-24 at 09:09I can confirm that this has been fixed by the LinkedIn Developer Team. Follow the same steps as above and it should work perfectly, as long as the authenticated user has granted the w_member_social permission.
On the last request I now get 201 Created response with the header X-RestLi-Id containing the link to the new post urn:li:share:6494126499975700480.
https://www.linkedin.com/feed/update/urn:li:share:6494126499975700480
P.S. If you're re-trying an old request / registered upload, it won't work, so make sure you try it with a new asset. I believe the bug was when registering uploads.
QUESTION
I am creating image shares on company profiles in my java app following the docs here --->https://docs.microsoft.com/en-us/linkedin/consumer/integrations/self-serve/share-on-linkedin#create-an-image-share
The problem that I'm encountering is that after uploading the file successfully(I get 201), from AWS ECS FARGATE container,but posting is successful from localhost. this is my code below:
...ANSWER
Answered 2020-May-09 at 18:41I actually managed to solve the issue in the meantime. And the issue was caused by the fact that fileUrl was a link to an file in a s3 bucket linked as an origin to a cloudfront deployment to which I had direct access. So I used the AmazonS3 s3client to get the inputstream directly.
QUESTION
I'm trying to implement an efficient way of doing concurrent inference in Pytorch.
Right now, I start 2 processes on my GPU (I have only 1 GPU, both process are on the same device). Each process load my Pytorch model and do the inference step.
My problem is that my model takes quite some space on the memory. I have 12Gb of memory on the GPU, and the model takes ~3Gb of memory alone (without the data). Which means together, my 2 processes takes 6Gb of memory just for the model.
Now I was wondering if it's possible to load the model only once, and use this model for inference on 2 different processes. What I want is only 3Gb of memory is consumed by the model, but still have 2 processes.
I came accross this answer mentioning IPC, but as far as I understood it means the process #2 will copy the model from process #1, so I will still end up with 6Gb allocated for the model.
I also checked on the Pytorch documentation, about DataParallel and DistributedDataParallel, but it seems not possible.
This seems to be what I want, but I couldn't find any code example on how to use with Pytorch in inference mode.
I understand this might be difficult to do such a thing for training, but please note I'm only talking about the inference step (the model is in read-only mode, no need to update gradients). With this assumption, I'm not sure if it's possible or not.
...ANSWER
Answered 2020-Feb-06 at 04:34You can get most of the benefit of concurrency with a single model in a single process for (read-only) inference, by doing concurrency in data loading and model inference.
Data loading is separated from the model running process, this can be done manually. As far as I know, tensorflow has some native supports for optimal parallel data preloading, you can look into it for an example.
Model inference is automatically parallel on GPU. You can maximize this concurrency by using larger batches.
From an architectural point of view, multiple users can also talk to the model through a higher level interface.
QUESTION
The example below uses cURL to upload image file included as a binary file.
...ANSWER
Answered 2019-Feb-27 at 10:06After several hours of banging my head against the wall, I finally figured out how to convert the curl call into a RestClient one (I'm using Ruby on Rails).
I think the problem you're having is that you have to pass the MIME type as the Content-Type in the request headers.
I'm using MiniMagick to figure out the MIME type of the image I'm uploading to LinkedIn. MiniMagick can also give you the binary string of the image that LinkedIn requires, so it's a win-win situation.
This is the call that finally worked:
QUESTION
Ok so this is my problem.. To share an image post via linkedin api, you first have to register your image file, you do that via a post request in which you send your binary file. Then you use the the image URN in the original request to submit your post. My request goes through, returns 201 code (which should be a successful request) but ends up not posting the image or the text. If i try to post only text, it works. I've tried registering my image using curl, and it posted on linkedin, so i think i'm not sending the binary file in a request properly, this is my request:
...ANSWER
Answered 2019-Feb-28 at 19:10Not familiar with Java, but I had the same problem using Ruby and I fixed it by adding the MIME type of the image I was uploading as the Content-Type in the request headers. So in your specific case it would be:
QUESTION
I'm now working with Linkedin V2 integration with my application. I'm facing an issue while trying to upload image to Linkedin.
I have tried CURL request from my terminal(I'm using Ubuntu OS) & getting response as below:
Terminal command (Working & file uploaded):
...ANSWER
Answered 2019-Apr-11 at 09:49Use Guzzle HTTP client instead of curl.I tried curl but it is not working.
First install the composer in the current directory with below command:
QUESTION
Is anyone else experiencing Internal Server Error when trying to register an image? I followed the instructions here (https://docs.microsoft.com/en-us/linkedin/consumer/integrations/self-serve/share-on-linkedin?context=linkedin/consumer/context#create-an-image-share) and even tried on 2 apps but I get the same error.
I checked this https://docs.microsoft.com/en-us/linkedin/marketing/integrations/community-management/shares/vector-asset-api#register-an-upload as well, even if it only pertains to uploading videos.
Things I made sure:
...ANSWER
Answered 2019-Mar-20 at 12:05The comment by @Ervin Kalemi helped - it turns out the Asset wasn't yet available. Also - I think the mistake you're making is that you're sending the content type and linkedin header. For the actual CURL post the following worked for me (using PHP):
exec('curl --upload-file '.$img.' --header "'.$this->oauth[0].'" \''.$url.'\'');
$img is the file path and $this->oauth[0] is simply Authorization: Bearer $token. I couldnt however get the above working with PHP curl - I had to run it directly as above. So if there is a php-curl solution I would prefer to use that. But hopefully this will get you going.
QUESTION
I am using the following code to share the post in linked in using swift 3 but it is giving the following error.
Code
...ANSWER
Answered 2018-Nov-13 at 13:04Found the solution,
The problem is with the payload which I am sending. Use the following payload instead of using the above.
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Install share-on
PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.
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