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TMCBeans Error When Running Tests Locally ('FAIL: Compilation failed')
Main Post:
Hello guys,
So I've just signed up for mooc.fi today and started doing the course.
As instructed, I've installed NetBeans with TMC (TMCBeans) and AdoptOpenJDK11 on my Macbook Pro running macOS Catalina 10.15.2.
Whilst running the first exercise, I noticed that the IDE won't run tests locally: this is the error I get:
The code itself is fine, I've submitted it to TMC and I've already been awarded the points. It's just I can't run tests locally.
Anyone have any idea on how to fix this? Thank you!
Top Comment:
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first time running gzclP -- what do I do when I fail a lift?
Main Post:
I'm having a blast running this workout, but very, very soon at least one of my T1s (looking at you, OHP) will fail. I understand that I go down to stage 2 (i.e., I go from 5x3 to 6x2) but do I also continue to add weight? So, if I fail OHP at 135 at 5x3, do I next go to 140 for 6x2 or do I stay at 135?
Also, if I succeed at stage 2, do I then go back up to stage 1? Basically, when do I go back to stage 1?
Top Comment:
You’d stay at 135 for the first 6x2 workout, then progress as usual from there. You’re supposed to keep doing 6x2 until you fail. Then you’d go to 10x1. Only if that fails, will you go back to 5x3. The starting weight will be your 5rm
Edit: If you haven’t yet I’d recommend reading all of Cody’s blog. It’ll clear a lot of stuff up.
AppImages fail to run on NVidia graphics : openSUSE
Main Post: AppImages fail to run on NVidia graphics : openSUSE
Running out of ammo is the lamest way to fail
Main Post:
Bungie figured this out a few years ago. I doesn't matter what kind of activity you're constructing. Give the player several ways to get the shit kicked out of them. But running out of ammo shouldn't be a choice! At least not for general ammo. It's lame. Even if some players are grinding missions just primary-ing enemies into infinity. It's better than just running out of ammo, and then standing around while ads destroy shit. NOT ENTERTAINING! The End.
Top Comment:
- Pick weapons of three different ammo types
- Use the right weapon for the right situation. A mid-range assault rifles or machine gun takes significantly more bullets to kill long range targets. Bring a long range weapon for that.
- Shoot for the weak spots to use less ammo
- Try not to run through ammo piles dropped by enemies unless you need to
- Make sure to upgrade your gear
These should all help you use less ammo
Why would pipeline stages continue to run jobs after a job fails in a previous stage?
Main Post:
My pipeline has a job is failing in my test stage. I'd expect that after the other jobs in the stage finish, the pipeline would stop. But my pipeline's still running jobs in the next stages. I'm not using the allow_failure: true option on the job that's failing which would allow the jobs to run.
Top Comment:
Directed acyclic graphs can cause this behaviour
https://docs.gitlab.com/ee/ci/directed_acyclic_graph/
But absent a yml we can't really help you.
running wsl --update fails
Main Post:
check this out https://emu.bz/xqZ.png (this is on an admin powershell)
The feature you are trying to use is on a network resource that is unavailable. Click OK to try again, or enter an alternate path to a folder containing the installation package 'wsl_update_x64.msi' in the box below.
What should I do here? I'm a bit confused.
I was able to download an msi, though i'm not sure it's the insider version of the MSI from https://wslstorestorage.blob.core.windows.net/wslblob/wsl_update_x64.msi
but when i select it, it gives this error message
The file 'C:\Users\alice\Downloads\wsl_update_x64.msi' is not a valid installation package for the product Windows Subsystem for Linux Update. Try to find the installation package 'wsl_update_x64.msi' in a folder from which you can install Windows Subsystem for Linux Update.
I'm on the latest insider build: Version Dev (OS Build 21364.1)
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Airflow task fails but DAG doesn't
Main Post:
I've noticed that for some DAGs I've created, when a task fails the DAG is still marked successful. Others a failed task sets the whole DAG as failed. Why is that? Is there a good way to make sure that failed tasks fail the DAG?
Top Comment:
I believe that the DAG is marked as failed if at least one of end of chain ( a leaf in the graph) has a status of fail or upstream_failed. So depending on your trigger rules, if you have tasks with trigger rules like "all_done" after your task that failed, the end of the chain will have a "success" status, and so will your DAG. If you want your DAG to fail, you can add a leaf DummyOperator parallel to your tasks with "all_done" trigger rules, your dag should fail