dump | One function library to simplify local print debug | Code Inspection library

pickle produces a binary format, which includes per field "header" bytes (describing type, length, and for some pickle protocols, framing data) that are going to look like garbage text if you view the output as text. You can't say "I want it to be pickle, but not have these bytes" because those bytes are part of the pickle serialization format. If you don't want those bytes, you need to choose a different serialization format (presumably using a custom serializer that matches this HTB format). This has nothing to do with UTF-8 encoding or lack thereof (your input is ASCII), the problem is that you are demanding a result that's literally impossible within the limits of your design.

You are accessing wrong key from Request $req->chekboxlist

But it should be

First of all: a Rat with a denominator of 0 is a perfectly legal Rational value. So creating a Rat with a 0 denominator will not throw an exception on creation.

I see two issues really:

• how do you represent a Rat with a denominator of 0 as a string?
• how do you want your program to react to such a Rat?

When you represent a Rats as a string, there is a good chance you will lose precision:

The Kubernetes project is making an effort to move away from wording that can be considered offensive, with one concrete recommendation being renaming master to control-plane. In other words control-plane and master mean essentially the same thing, and the goal is to switch the terminology to use control-plane exclusively going forward. (More info in this answer)

The kubectl command is a command line interface that executes on a client (i.e your computer) and interacts with the cluster through the control-plane. The IP address you are seing through cluster-info is the IP address through which you reach the control-plane

As the comments mention you should refer to type casting. In your example you try to add a string with an integer. This is not possible.

You can directly do it by casting N3ID to int or you can add some type checks before you proceed with your addition.

In the first case you can simply do int(N3ID) and then add your number.

If you want to perform type check there are a couple of ways to do it.

• You can check the type of your var with type(N3ID) or (isinstance(N3ID, int)) and then decide accordingly how to proceed.
• You can check if your var can be cast in integer with isdigit() method.

isinstance and type docs can be found here

isdigit is a string method can be found here

If you plan to write a lot of WASM in Go, you might want to consider compiling with TinyGo, which is a Go compiler for embedded and WASM.

TinyGo supports a //export or alias //go:export comment directive that does what you're looking for.

I'm copy-pasting the very first example from TinyGo WASM docs:

The shape of b is (1,10) and the shape of the expression is (10). It will work if you do

TL;DR. You should check that the pointer returned by bpf_map_lookup_elem is not NULL.

With the following logs, the BPF verifier is telling you that, when it reaches the dereference of my_pid, the pointer may still have a NULL value. It thus contains a map value or a NULL value, i.e., map_value_or_null.

This is not straightforward and will need some manual interventions and it depends on what do you want to do in the future

• If the tables that already exist in the database have a stable design and won't be changed or you can do the changes manually using SQL statements then set managed = False to the models' meta, this will make Django skip making migrations for those models

• If you want to keep the power of migration in the new project for all models then this will more complex

  1. Delete all your migrations
  2. You need to make your models equivalent to your database, you can set managed=False for new models like Users
  3. Run python manage.py makemigrations, this will create the structure of the initial database.
  4. Fake running the migrations python manage.py migrate --fake
  5. Dump the records of django_migrations table
  6. Create a new empty migration (with --empty) and add the SQL statements of the django_migrations table to it using migrations.RunSQL()
  7. now fake again so you skip that new migration.
  8. Now you are ready to use migrations as usual.

When installing new database, you will just need to run python manage.py migrate