MAST | Tools and methods for analysis of single cell assay data | Genomics library

I'm final student who research and implement Openstack Victoria. When I configure Project: Octavia - Loadbalancer on multi-node - CentOS8, I have a issue. Seem like octavia.amphorae.drivers.haproxy.rest_api_driver couldn't connect to Amphora instance and port 9443 didn't run on my Network Node aka Octavia-API. In controller node, the amphora instance still running nornally. I follow https://www.server-world.info/en/note?os=CentOS_8&p=openstack_victoria4&f=11 to configure my lab. This is my cfg file below, pls help me to figure out. Regards!

I created lb_net in type vxlan and lb-secgroup, when i use command to create lb it still pending-create:

i am trying to train my data with spacy v3.0 and appareantly the nlp.update do not accept any tuples. Here is the piece of code:

I am trying get the definitions of certain words using this code:

I've read and reread articles online on how to do this, but it's probably something simple. I'm trying to learn how to process a json response from an API call. I have a simple method I call from Main()

I was trying to update to latest kotlin verion 1.4.30 an Apache Beam dataflow pipeline that is currently running with kotlin 1.4.21 but as soon as I upgrade build.gradle with version 1.4.30 the compilation fails with this exception:

If I am using Kubernetes cluster to run spark, then I am using Kubernetes resource manager in Spark.

If I am using Hadoop cluster to run spark, then I am using Yarn resource manager in Spark.

But my question is, if I am spawning multiple linux nodes in kebernetes, and use one of the node as spark maste and three other as worker, what resource manager should I use? can I use yarn over here?

Second question, in case of any 4 node linux spark cluster (not in kubernetes and not hadoop, simple connected linux machines), even if I do not have hdfs, can I use yarn here as resource manager? if not, then what resource manager should be used for saprk?

Thanks.

I am trying to install pypy3 to jupyter notebook but whilst doing it, it gives me an error at the source code bit during the cmd installation. I am on windows 10 64 bit system. Would this bit affect anything, from my backtests of large files the runtime has not been that much better in comparison to python which makes me believe that pypy is not working properly. I am trying to execute the answer to this previous question on stack overflow: enter link description here. even though that source PyPy3/bin/activate bit of the code does not work, the pypy kernel shows up on jupyter notebook.

cmd codes for jupyter notebook installation:

I'd like to match enums that have struct values. When I'm doing matching an enum, it seems I'm required to provide a value for the Enum field if it has one. I'd like to set this value to A::default(), and reference the values of this default, but that gives me the error: expected tuple struct or tuple variant, found associated function `A::default. How can I work around this? Playground

Creating a repo with a different default branch than master is easy with git init --initial-branch=main myRepo, or git config --global init.defaultBranch main, for instance (see How can I create a Git repository with the default branch name other than "master"? for details).

I want the inverse: when building git scripts that need the name of the default integration branch, is the local git metadata aware of what this branch name is, so it can tell me, and if so, how do we get at that data?

I thought something like git rev-parse --abbrev-ref origin/HEAD would work, but that just seems to show what the default branch was of the repo it was cloned from, at the time of cloning, provided that the remote we cloned from was named origin.