ASG | Open category classification by adversarial sample | Machine Learning library

I'm looking to intersect 2 spatial layers, keeping all the non-intersecting features as well.

My first layer is the SA2 from NSW, Australia, which look like

enter image description here

My second layer is the Areas of Regional Koala Significance (ARKS):

enter image description here

When I intersect them, I get part of my desired result, which is subdividing the SA2 by the ARKS.

enter image description here

The thing is that I'd like to have also the rest of the SA2 polygons that don't intersect. The desired result would be a map of the SA2, where the intersecting ones would be subdivided by where they intersect to the ARKS layer, and the ones that don't intersect would contain NA. Something like in the next picture but in a single dataset instead of two: enter image description here

I post my code below:

I have a loadbalancer and under that have some T3a type ec2 instances. When a scaling activity happens under ASG new instance will be created and it will start with base cpu credit. Is there anyway I can share the CPU credit for instances under the loadbalancer, else new instance will have only lesser credit score.

Any advice

I need to attach a static private IP to an instance in an ASG. Since I can't specify it in the Launch Template, I'm using a user-data script to attach an existing ENI on instance startup. It works fine with --device-index 1 but then I get a total of two IPs.

Why is it not possible to have --device-index 0 to attach only the IP address I need?

I'm building an infrastructure for a project I have, and I wonder if Terraform can get ec2's state. Basically, I need to create an ec2 with all the requirements, generate it to an AMI, and create an ASG. I want that the ec2 would stop after it's ready and only then to continue with the steps (AMI and ASG). Does anyone have any experience with that? help would be much appreciated Thanks!

I'm trying to list a filtered set of ASGs based on Tag value like this:

There is terraform code, which, in theory, should connect to port 80 via aws_security_group, but this does not happen and the page does not load.

Terraform greenhorn here. I want to output and dynamically add only the first 2 subnets in the vpc_zone_identifier below. But I can't get it by index, is asking for a name.

vpc_zone_identifier = [module.subnet[0].subnet_id, module.subnet[1].subnet_id]

Here is what I tried.

Any suggestion is appreciated.

I have a scenario in which I have a peptide frame having 9 AA. I want to generate all possible peptides by replacing a maximum of 3 AA on this frame ie by replacing only 1 or 2 or 3 AA.

The frame is CKASGFTFS and I want to see all the mutants by replacing a maximum of 3 AA from the pool of 20 AA.

we have a pool of 20 different AA (A,R,N,D,E,G,C,Q,H,I,L,K,M,F,P,S,T,W,Y,V).

I am new to coding so Can someone help me out with how to code for this in Python or Biopython.

output is supposed to be a list of unique sequences like below:

CKASGFTFT, CTTSGFTFS, CTASGKTFS, CTASAFTWS, CTRSGFTFS, CKASEFTFS ....so on so forth getting 1, 2, or 3 substitutions from the pool of AA without changing the existing frame.

I have an ECS cluster and an Application load balancer. I have setup dynamic port mapping for Amazon ECS following aws's docs.

The problem is that port 80 of my instance gets registered as a target in my target group which always fail (and it will because the container is exposed at the ephemeral port range 32768 - 65535:

Because of that, the Autoscaling group that I have constantly spun up new EC2 instances and terminates existing ones

Bellow are my Tarraform config file that creates the ALB, listener and target_group: