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I'm trying to initiate a Springboot project using Open Jdk 15, Springboot 2.6.0, Springfox 3. We are working on a project that replaced Netty as the webserver and used Jetty instead because we do not need a non-blocking environment.

In the code we depend primarily on Reactor API (Flux, Mono), so we can not remove org.springframework.boot:spring-boot-starter-webflux dependencies.

I replicated the problem that we have in a new project.: https://github.com/jvacaq/spring-fox.

I figured out that these lines in our build.gradle file are the origin of the problem.

A Flutter Android app I developed suddenly compiled wrong today.

Error:

Execution failed for task ':app:processDebugResources'.

Android resource linking failed /Users/xxx/.gradle/caches/transforms-2/files-2.1/5d04bb4852dc27334fe36f129faf6500/res/values/values.xml:115:5-162:25: AAPT: error: resource android:attr/lStar not found.

error: failed linking references.

Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.

The build failed in 16 seconds.

Update: the root issue was a bug which was fixed in Spark 3.2.0.

Input df structures are identic in both runs, but outputs are different. Only the second run returns desired result (df6). I know I can use aliases for dataframes which would return desired result.

The question. What is the underlying Spark mechanics in creating df3? Spark reads df1.c1 == df2.c2 in the join's on clause, but it's evident that it does not pay attention to the dfs provided. What's under the hood there? How to anticipate such behaviour?

First run (incorrect df3 result):

I'm trying to study the neural-network-and-deep-learning (http://neuralnetworksanddeeplearning.com/chap1.html). Using the updated version for Python 3 by MichalDanielDobrzanski (https://github.com/MichalDanielDobrzanski/DeepLearningPython). Tried to run it in my command console and it gives an error below. I've tried uninstalling and reinstalling setuptools, theano, and numpy but none have worked thus far. Any help is very appreciated!!

Here's the full error log:

I've built my React Native app and tested and troubleshooted with my iOS devices for months. Now I'm trying to built and test the app on Android for the first time. The thing is, that I keep getting errors trying to run the Android-version of my app. After hours of debugging and troubleshooting, I tried to create a new RN project and see if that could run on my emulator and device. I got that part working and then I wanted to copy/paste the files of my existing app project into the new project.

I pasted my existing assets, styles, the source JS-files and the package.json file into the new project, ran npm install and then I ended up with the exact same error message as I had in the original project when I run react-native run-android.

The full error message is here:

I just updated flutter version from 2.5.3 to 2.8. I have the following error that i dont know how resolve it. There is no error on any plugin installed, It seems that the error comes from the inner classes themselves and I don't know in which part of my application the error is throwed:

I have created a new flutter project and added camera plugin. after adding that dependency I got many errors. I used futter version is 2.5.2 & minSdkVersion 21

In pubspec.yaml file,

Because of Google Play, I had to update an old project of mine to the latest expo versions (version 43.0.0 to be exact). The idea is for the app to scan a QRCode and process the data, simply. However, expo-barcode-scanner only works once and after that I need to close and open the app again to work. Has anyone encountered this problem and (or) knows how to solve it? Below is my code:

I am working with WSL a lot lately because I need some native UNIX tools (and emulators aren't good enough). I noticed that the speed difference when working with NPM/Yarn is incredible.

I conducted a simple test that confirmed my feelings. The test was running npx create-react-app my-test-app and the WSL result was Done in 287.56s. while GitBash finished with Done in 10.46s..

This is not the whole picture, because the perceived time was higher in both cases, but even based on that - there is a big issue somewhere. I just don't know where. The project I'm working on uses tens of libraries and changing even one of them takes minutes instead of seconds.

Is this something that I can fix? If so - where to look for clues?

Additional info:

• my processor: Processor AMD Ryzen 7 5800H with Radeon Graphics, 3201 Mhz, 8 Core(s), 16 Logical Processors

• I'm running Windows 11 with all the latest updates to both the system and the WSL. The chosen system is Ubuntu 20.04

• I've seen some questions that are somewhat similar like 'npm install' extremely slow on Windows, but they don't touch WSL at all (and my pure Windows NPM works fast).

• the issue is not limited to NPM, it's also for Yarn

• another problem that I'm getting is that file watching is not happening (I need to restart the server with every change). In some applications I don't get any errors, sometimes I get the following:

  ...