Notable | Notable is an app for Android notification reminders | Notification library

I downloaded the sample code from GitHub and modified the ReadNodeExample.java just to make sure that I can connect to an OPC Server (not Milo, it's a C#-based OPC Server). I was able to verify that the sample code is able to read/write/call nodes from my server with the modifications.

I then reimplemented what I thought I needed into my actual project, but I might be missing something since I cannot connect under this project and receive the following error:

java.lang.NoSuchMethodError: 'io.netty.buffer.ByteBuf io.netty.buffer.ByteBuf.writeMediumLE(int)'

This error happens in the ClientExampleRunner.run() while running createClient() I can still run the sample project and still connects.

Here's my pom.xml: The org.milo is added near the end and I added what I saw was added from the sample (included ch.qos.logback and jetbrains). Then added the io.netty thinking it would help, but still have the same error.

I have a select statement that runs in 10 seconds when I hardcode a date.

But if i create a simple variable that contains the date, my performance takes hours.

This happens inside a stored procedure or even just in new query.

The execution plan doesn't show anything notable. I have a bunch of needed indexes for these joins.

Any ideas on why there would be such a difference?

Mainly a Java/Python coder here. I am coding a tokenizer for an assignment. (I explicitly cannot use strtok().) The code below is meant to separate the file text into lexemes (aka words and notable characters).

I'm currently struggling with setting the page of a data table externally before the table data is loaded. In my application the data table page either comes from the URL or the local storage. In theory as soon as the component is created I know on which page of the table the user should end up on.

But setting the page immediately will be of no use because after the data of the table is loaded the table page is set back to 1 again. But since I usually use a computed property for keeping the table data I simply wait for changes on this and update the table page afterwards. Unfortunately this doesn't work if there is a lot of data or the data structure is more complicated the rendering takes a bit longer so my update is coming in too early.

I couldn't find any hints in the docs that this is not supported and created a github issue since it seems like a bug to me, at least judging by some contradictory data in the dev tools.

I also tried to recreate the scenario in a codepen, obviously in this case one could just wait until "loadData" is done but as I said for my application the slight delay between getting the data and it showing up in the table seems to be the issue but leads to the same result in the end.

I tried the same with the options property but couldn't see any notable difference:

There are a couple of notable packages on pub.dev that offer video compression. I've tried them, and other sketchy packages, and none work well once a video gets around 300MB. They crash or have other issues on various platforms and hardware. Namely, video compress and light compressor. The GH commits and support are concerning as well on the packages I've seen for video compression in pub.dev. PR's not being pulled in and issues not being resolved in a timely manner and some quite serious for recent android APK updates. So not something I want in my dependency stack.

I am uploading to Google Cloud Storage using FlutterFire. While my code does upload using FireBaseStorage upload task it does not have any ability to compress on the client side or handle background uploading when the app is closed.

So, currently on the server side, I have a GCF that triggers on file uploaded. Then I use nodejs ffmpeg, which is baked into GCF's to compress server side and convert to H264. And finally delete the original large upload video and save the compressed video to storage.

This solution works, but depending on a user's connection and whether they are on wifi, can take an awful long time and when it fails or the user closes the app, my current solution is useless.

I wish there was a solid native library on Android and iOS, that I could tap into, to confidently perform compression and conversion from any format to H264 and also allow uploading, whether my app is closed or in the background, to GC storage. Any thoughts? I wish this was standard in FlutterFire's cloud storage handling!

I have yet to test flutter_ffmpeg, but only because some have said it runs so slowly on client. So again, Flutter/Dart can access natively written code, but I don't know where to start on Android/iOS to do this the right way. And I understand this is what some of the packages are doing, but they do not work with large videos, so I'm hoping someone can point me in the right direction on Android and iOS.

My code for handling upload tasks to GC storage.

5 weeks into learning JavaScript. I have the following scenario. I created a custom object/class Question with 5 properties: constructor class

I need to merge two files, adding the contain of the file 2 directly to the end of the file 1. Notable the last line of the first file consist of the phrase "END". I need to remove it and add there the content of the file 2:

file 1:

I am trying to improve my model training performance following the Better performance with the tf.data API guideline. However, I have observed that the performance using .cache() is almost the same or even worse if compared to same settings without .cache().

I'm able to add a message to firestore when I clicked the send button in the chatroom, but the recyclerview doesn't update in realtime so the new message doesn't appear. The message does appear when I reopen the chatroom which isn't best pratice. Normally FirestoreRecyclerAdapter should automatically updated the query when changes are made and update the recyclerview. I'm working in Android Studio with Java and using fragments instead of activities.

ChatRoomFragment: